578 Microstrategy Jobs - Page 22

em E-COM, manager Business Planning & FORECASTING Area: EM (Emerging Markets) | Global Sales Department: e-commerce Direct Reporting Line: Senior Manager, Business Planning and forecasting, EM eCommerce Indirect/secondary reporting line: Director, Planning and Analytics, EM eCommerce Subsidiary/country Location: INDIA GSMS Grade: M4 Number of Personnel Managed: 0 Cost Center/Budget and/or Revenue Responsibility: EM Purpose & Overall Relevance For The Organization Driving Business planning & Forecasting Analytics at adidas e-commerce, you are responsible for planning and delivering business targets. Based on internal & external data sources, you manage adoption of forecast models, data capabilities, insights that help adidas better understand the consumer, expand reach, increase customer engagement and advocacy. Key Responsibilities Business Performance & Forecasting: Own and drive the overall EM e-com Business Performance Reporting (Sales, KPIs) and the EM e-com Forecasting practice (Forecast Review & Forecast Accuracy). Identify Demand gaps, risks and uplift and provide visibility and actionable advice to the broad stakeholders to ensure targets are achieved. Manage and provides advice to stakeholders to adopt and adhere to the agreed forecast and demand management approach and follow-up actions. Ensure tools and systems daily routines & activities, refresh, updates and scheduling. Support deep-dives, ad-hoc analysis and contextual dashboards with relevant platforms and channels. Develop and maintain a strong stakeholder network with high level of trust that facilitates action- ability of insights. Advise stakeholders in your area of responsibility to define goals, select appropriate KPIs, monitor performance and derive trends and opportunities. Build a strong internal and external network, informing the adidas Digital community on the latest trends and technological advances. Maintain quality, set good development practices, and define standards that keep the focus on the right things. Enable and Support Products Analytics, working side by side in symbiosis with the EM e-com Buying and Trading function. Create new trading capabilities for our business and align with cross functional stake holders to implement and enhance the framework for order and article level profitability that will serve as the foundation for marketing campaign and range effectiveness. Work directly with business partners to optimize our own site, partner offerings, & app, drive marketing campaigns from assortment to target audience, and generate insights to maximize sales opportunities of managed portfolio of products Monitor and analyze market trends and competitor activities and derive conclusions for the growth and optimization of adidas Digital sales, identifying gaps, opportunities and risk within EM e-com business and the digital marketplace landscape. Develop and maintain a strong stakeholder network with high level of trust that facilitates action- ability of insights. Key Relationships EM Hub e-com team EM Function teams (Finance, DNA, Brand, Sales, SCM…) Country-Clusters (C/C) market teams & group functions Global Digital teams Global BI & Analytics teams Requisite Education And Experience / Minimum Qualifications Degree with focus in Business, Finance, Economics, Math or related field preferred, or equivalent combination of education and experience Minimum 5 years of experience working in eCommerce Business planning, Data Analytics, Business Intelligence, Demand forecasting or equivalent experience Experience in e-commerce environment preferred Experience in data handling and analytics platforms, especially in their integration or deriving insights requiring multiple sources Industry: Ideally in apparel/fashion/shoes or internet Experience in leading cross-geography teams Knowledge & Soft Skills Broad understanding and passion for Digital and e-com Understanding of multi-platform e-commerce Deep knowledge of Digital and e-com analytics Ability to efficiently work in a cross-functional organization, ability to develop influential and collaborative relationships with stakeholders from digital and non-digital disciplines on all levels Excellent communication & negotiation skills, comfortable presenting business challenges and opportunities at various organizational levels A passion for contributing to new data capabilities, tools, and frameworks. Interest in “back-of-house” development of analytics capabilities. Devotion to accuracy, reliability, rigor, and user-focused design. Meticulous, high attention to details with Bias to action Outspoken and Confident Broad understanding of and passion for the sports and fashion/entertainment industry Hard Skills Experience in Digital Analytics, BI, Financial, Digital tools Hands-on experience with data visualization, and analytics tools and disciplines Proficient in MS Office (with Excellent skills with Excel). Preferred Alteryx or at least one querying language Experience with process design and process improvements, automation, etc. Plus, would be considered: Experience in forecasting and predictive models Advanced experience with Analytics Blending & Visualization Tools (PowerBI, MicroStrategy, SQL…) Understanding of traffic analytics, marketing & media KPIs and ROI Experience with Web Analytics and Native app (iOS/Android) analytics (Adobe Analytics, Google Analytics, Amplitude, AppsFlyer, FireBase…). Experience with Advanced Analytics Tools/ language such as R/Python is good to have Experience in relevant digital disciplines (e-com, Social, online communities, loyalty programs, CRM, SEO/SEM) Experience with AB and Multi-variate testing tools preferred (e.g. Optimizely, VWO, Test & Target) Experience in working with data science and engineering teams Fluent English both verbally and written adidas celebrates diversity, supports inclusiveness and encourages individual expression in our workplace. We do not tolerate the harassment or discrimination toward any of our applicants or employees. We are an equal opportunity employer. Show more Show less

Duties & Responsibilities Provides coaching and mentoring to members of the Data Analytics team Responsible for development of analytics product packages as driven by Epicor product roadmap or customer contracts with key a focus on matching the final user experience to a business user case Performs research, analysis, and modeling on organizational data and has primary responsibility for the front-end analytics user experience Participates in cross functional analytics product teams including DW engineers, ETL software engineers, data sciences engineers, data production staff, aftermarket industry SMEs, and also directly engages customers to orchestrate the final analytics solution Investigates and integrates analytics technology and new data sources to keep our analytics solutions current in the fast evolving analytics market space Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions Mines and analyzes complex and unstructured data sets using advanced statistical methods for use in data driven decision making Partners with product operations managers and staff in developing and delivering high analytics availability and performance to meet or exceed customer contract service levels. Knowledge, Skills & Abilities Oral and written communication skills Problem/situation analysis on complex issues Ability to identify and seek needed information/research skills Analytical thinking skills, statistical knowledge, technical expertise and mathematical skills Experience using SQL and Python to analyze large datasets Advanced knowledge in one or more analytics front end toolsets such as such as Microstrategy, PowerBI, or Tableau Background and experience in medium to large IT initiatives leveraging formalized requirements, agile/iterative development methods, and formalized change management processes Creative, flexible, and collaborative in approach to technical problem solving and data driven design Experience using SQL to analyze large datasets Exposure to database modeling and data warehousing principles Experience implementing data science routines in R and/or Python Experience using data visualization and high volume BI tools such as Tableau and MicroStrategy AI/ML Saas Qualifications 6+ years experience and demonstrated success/knowledge in building, deploying, and supporting large scale analytics solutions 2+ years of Applied analytics experience Bachelor’s degree computer science/statistics or related field (or equivalent experience) About Epicor At Epicor, we’re truly a team. Join 5,000 talented professionals in creating a world of better business through data, AI, and cognitive ERP. We help businesses stay future-ready by connecting people, processes, and technology. From software engineers who command the latest AI technology to business development reps who help us seize new opportunities, the work we do matters. Together, Epicor employees are creating a more resilient global supply chain. We’re Proactive, Proud, Partners. Whatever your career journey, we’ll help you find the right path. Through our training courses, mentorship, and continuous support, you’ll get everything you need to thrive. At Epicor, your success is our success. And that success really matters, because we’re the essential partners for the world’s most essential businesses—the hardworking companies who make, move, and sell the things the world needs. Competitive Pay & Benefits Health and Wellness: Comprehensive health and wellness benefits designed to support your overall well-being. Internal Mobility: Opportunities for mentorship, continuing education, and focused career goal setting, with 25% of positions filled internally. Career Development: Free LinkedIn Learning licenses for everyone, along with our Mentoring Program to boost your personal development. Education Support: Geographically specific programs to balance the cost of education with the benefits of continued learning and personal development. Inclusive Workplace: Collaborate with a diverse team in an inclusive, global workplace that fosters innovation and celebrates partnership. Work-Life Balance: Policies built on mutual trust and support, encouraging time off to rest, recharge, and reconnect. Global Mobility: Comprehensive support for international relocations and permanent residency processes. Equal Opportunities and Accommodations Statement Epicor is committed to creating a workplace and global community where inclusion is valued; where you bring the whole and real you—that’s who we’re interested in. If you have interest in this or any role- but your experience doesn’t match every qualification of the job description, that’s okay- consider applying regardless. We are an equal-opportunity employer. Recruiter Zeba Bahzad Khazi Show more Show less

EXPERIENCE: 7+ Years LOCATION: Bangalore/Chennai - Hybrid NOTICE PERIOD: 30 Days Strategy Delivering, building and maintaining the Data Driven solutions that are core to Group Operations strategy. Business 1) Provide thought leadership in data science techniques and business applications to unlock the value of SCB’s data sets and external information. 2) Continually look at the environment to challenge our assumptions around new sources of data, potential analytics partners, tools, talent and infrastructure. 3) Engage with internal clients to improve delivery of analytic projects. 4) Explore leading methodologies and best practices and importing successful methodologies from international markets. Key Stakeholders Business Analysts, Business Partners, COO Business, ITO, CDO, internal staff, clients and 3rd parties. Other Responsibilities 1) Work with senior management to develop and refine the bank's AI strategy, ensuring alignment with overall business objectives. 2) Identify and prioritize AI use cases that have the potential to deliver significant business value. 3) Develop business cases for AI projects, including cost-benefit analysis, risk assessment, and ROI estimation Skills: 1) Responsible for building applications with modern architecture design with RESTful web services / APIs. 2) Responsible for building web-based applications. 3) Hands-on experience with Windows Server, Azure, AWS and Git 4) Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity. 5) Accountable for supporting applications in production - analyse and resolve issues as they arise. 6) Strong working knowledge of Python. 7) Good experience with Business Intelligence tools and Decision Support Systems. 8) Strong data analysis skills using Hive, Spark, R, Python, Dremio, MicroStrategy or Tableau. 9) Experience in working with key stakeholders within the business. 10) Proven problem-solving skills. Show more Show less

Job Title: DevOps Engineer-Gen AI EXPERIENCE: 7+ Years LOCATION: Bangalore/Chennai NOTICE PERIOD: 30 Days Strategy Delivering, building and maintaining the solutions to AI use cases and augmenting functionalities of AI tool of the bank. Business Accelerate delivery of AI uses cases for various Business & Functions of the bank with focus on, Responsibilities 1) Design and Optimize AI Prompts: Develop, test, and refine AI prompts to ensure optimal performance and alignment with business goals. 2) Data Analysis and Interpretation: Analyze large datasets to uncover trends, patterns, and insights that support strategic decision-making. 3) Collaborate with Cross-Functional Teams: Work closely with data scientists, software engineers, and business stakeholders to integrate AI solutions into banking operations. 4) Continuous Improvement: Stay updated with the latest advancements in AI and data analytics to continuously improve the quality and efficiency of AI models and data analysis processes. 5) Documentation and Training: Document processes, methodologies, and findings, and provide training to team members on best practices in prompt engineering and data analysis. Accountabilities 1) Quality and Performance: Accountable for the quality and performance of AI prompts and data analysis outcomes, ensuring they meet the bank’s standards and objectives. 2) Compliance: Responsible for ensuring all AI and data-related activities adhere to regulatory and compliance requirements. 3) Stakeholder Satisfaction: Accountable for delivering actionable insights and effective AI solutions that satisfy the needs of internal stakeholders and support the bank's strategic goals. Key stakeholders CDO Squads, Business Partners, ITO, internal staff, clients and 3rd parties. Other Responsibilities Embed Here for good and Group’s brand and values in AI squad deployed to various Business and Functions; Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures. 1) Identify and prioritize AI use cases that have the potential to deliver significant business value. 2) Develop business cases for AI projects, including cost-benefit analysis, risk assessment, and ROI estimation. Skills: 1) Software development experience using .Net framework or Java 2) Completed real world ML, NLP and DO projects using R or Python 3) Extensive experience in SQL and NoSQL database design, queries and stored procedures 4) Hands-on experience with Windows Server, Azure, AWS and Git 5) Highly proficient in data visualisation tools... 6) Documentation - Requirements/Use Cases/Business Rules/User Stories, Etc. 7) Report Types - Gap Analysis/Problem Analysis/Initial Assessments, Etc. 8) Process/Data Modelling - 'As Is'/'To Be'/ Visio/Enterprise Architect/System Architect, Etc. 9) Strong query language skills (SQL, Hive, ETL, Hadoop, Spark, R, Python) 10) Good experience with Business Intelligence tools and Decision Support Systems 11) Strong data analysis skills using Hive, Spark, R, Python, Dremio, MicroStrategy and Tableau. 12) Proven experience in working with key stakeholders within the business 13) Proven problem-solving skills 14) Workshop Facilitation Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Strategy and Transactions (SaT)– DnA Assistant Director EY’s Data n’ Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Management, Visualization, Business Analytics and Automation. The assignments cover a wide range of countries and industry sectors. The opportunity We’re looking for Assistant Director - Data Engineering. The main objective of the role is to support cloud and on-prem platform analytics and data engineering projects initiated across engagement teams. The role will primarily involve conceptualizing, designing, developing, deploying and maintaining complex technology solutions which help EY solve business problems for the clients. This role will work closely with technical architects, product and business subject matter experts (SMEs), back-end developers and other solution architects and is also on-shore facing. This role will be instrumental in designing, developing, and evolving the modern data warehousing solutions and data integration build-outs using cutting edge tools and platforms for both on-prem and cloud architectures. In this role you will be coming up with design specifications, documentation, and development of data migration mappings and transformations for a modern Data Warehouse set up/data mart creation and define robust ETL processing to collect and scrub both structured and unstructured data providing self-serve capabilities (OLAP) in order to create impactful decision analytics reporting. Your Key Responsibilities Evaluating and selecting data warehousing tools for business intelligence, data population, data management, metadata management and warehouse administration for both on-prem and cloud-based engagements Strong working knowledge across the technology stack including ETL, ELT, data analysis, metadata, data quality, audit and design Design, develop, and test in ETL tool environment (GUI/canvas driven tools to create workflows) Experience in design documentation (data mapping, technical specifications, production support, data dictionaries, test cases, etc.) Provides technical leadership to a team of data warehouse and business intelligence developers Coordinate with other technology users to design and implement matters of data governance, data harvesting, cloud implementation strategy, privacy, and security Adhere to ETL/Data Warehouse development Best Practices Responsible for Data orchestration, ingestion, ETL and reporting architecture for both on-prem and cloud (MS Azure/AWS/GCP) Assisting the team with performance tuning for ETL and database processes Skills And Attributes For Success 12-14 years of total experience with 8+ years in Data warehousing/ Business Intelligence field Solid hands-on 8+ years of professional experience with creation and implementation of data warehouses on client engagements and helping create enhancements to a data warehouse Strong knowledge of data architecture for staging and reporting schemas, data models and cutover strategies using industry standard tools and technologies Architecture design and implementation experience with medium to complex on-prem to cloud migrations with any of the major cloud platforms (preferably AWS/Azure/GCP) 5+ years’ experience in Azure database offerings [ Relational, NoSQL, Datawarehouse] 5+ years hands-on experience in various Azure services preferred – Azure Data Factory, Kafka, Azure Data Explorer, Storage, Azure Data Lake, Azure Synapse Analytics, Azure Analysis Services & Databricks Minimum of 8 years of hands-on database design, modeling and integration experience with relational data sources, such as SQL Server databases, Oracle/MySQL, Azure SQL and Azure Synapse Knowledge and direct experience using business intelligence reporting tools (Power BI, Alteryx, OBIEE, Business Objects, Cognos, Tableau, MicroStrategy, SSAS Cubes etc.) Strong creative instincts related to data analysis and visualization. Aggressive curiosity to learn the business methodology, data model and user personas. Strong understanding of BI and DWH best practices, analysis, visualization, and latest trends. Experience with the software development lifecycle (SDLC) and principles of product development such as installation, upgrade and namespace management Willingness to mentor team members Solid analytical, technical and problem-solving skills Excellent written and verbal communication skills Strong project and people management skills with experience in serving global clients To qualify for the role, you must have Master’s Degree in Computer Science, Business Administration or equivalent work experience. Fact driven and analytically minded with excellent attention to details Hands-on experience with data engineering tasks such as building analytical data records and experience manipulating and analysing large volumes of data Relevant work experience of minimum 12 to 14 years in a big 4 or technology/ consulting set up Help incubate new finance analytic products by executing Pilot, Proof of Concept projects to establish capabilities and credibility with users and clients. This may entail working either as an independent SME or as part of a larger team Ideally, you’ll also have Ability to think strategically/end-to-end with result-oriented mindset Ability to build rapport within the firm and win the trust of the clients Willingness to travel extensively and to work on client sites / practice office locations Strong experience in SQL server and MS Excel plus atleast one other SQL dialect e.g. MS Access\Postgresql\Oracle PLSQL\MySQLStrong in Data Structures & Algorithm Experience of interfacing with databases such as Azure databases, SQL server, Oracle, Teradata etc Preferred exposure to JSON, Cloud Foundry, Pivotal, MatLab, Spark, Greenplum, Cassandra, Amazon Web Services, Microsoft Azure, Google Cloud, Informatica, Angular JS, Python, etc. Experience with Snowflake What We Look For A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY SaT practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

About Improzo At Improzo ( Improve + Zoe; meaning Life in Greek ), we believe in improving life by empowering our customers. Founded by seasoned Industry leaders, we are laser focused on delivering quality-led commercial analytical solutions to our clients. Our dedicated team of experts in commercial data, technology, and operations has been evolving and learning together since our inception. Here, you won't find yourself confined to a cubicle; instead, you'll be navigating open waters, collaborating with brilliant minds to shape the future. You will work with leading Life Sciences clients, seasoned leaders and carefully chosen peers like you! People are at the heart of our success, so we have defined our CARE values framework with a lot of effort, and we use it as our guiding light in everything we do. We CARE! Customer-Centric: Client success is our success. Prioritize customer needs and outcomes in every action. Adaptive: Agile and Innovative, with a growth mindset. Pursue bold and disruptive avenues that push the boundaries of possibilities. Respect: Deep respect for our clients & colleagues. Foster a culture of collaboration and act with honesty, transparency, and ethical responsibility. Execution: Laser focused on quality-led execution; we deliver! Strive for the highest quality in our services, solutions, and customer experiences. About The Role We are seeking a highly skilled Data and Reporting Developer (Improzo Level - Associate) to join our dynamic team. As a Big Data Developer, you will be responsible for designing, developing, and maintaining large-scale data processing systems using big data technologies. This is an exciting opportunity for a talented individual with a strong technical background and a passion for working with large datasets to deliver high-quality solutions. Key Responsibilities Big Data Application Development: Design, develop, and maintain scalable data pipelines and big data applications. Work with distributed processing frameworks (e.g., Apache Hadoop, Apache Spark) to process and analyze large datasets. Write optimized and high-performance code to handle data ingestion, processing, and analysis in real-time or batch processing environments. Data Architecture: Collaborate with data architects and other stakeholders to design and implement data storage solutions using HDFS, NoSQL databases (e.g., Cassandra, HBase, MongoDB), and cloud data platforms (e.g., AWS, Azure, Google Cloud). Develop and maintain ETL pipelines for data extraction, transformation, and loading (ETL) using ETL tools or Databricks Work with data lakes and data warehousing solutions for large-scale data storage and processing. Data Integration: Integrate various data sources into the big data ecosystem (e.g., data from relational databases, APIs, third-party tools, IoT devices). Ensure seamless data flow between systems while maintaining data quality and integrity. Reporting Development: Design and Build reports on tools like Power BI, Tableau, Microstrategy Design basic UI / UX as per client needs Performance Optimization: Optimize big data workflows and queries to ensure high performance and scalability. Implement data partitioning, indexing, and other techniques to handle large datasets efficiently. Collaboration and Communication: Collaborate with cross-functional teams (data scientists, analysts, engineers, etc.) to understand business requirements and deliver data solutions that meet those needs. Communicate complex technical concepts and data insights clearly to non-technical stakeholders. Testing and Quality Assurance: Perform unit testing and troubleshooting of data pipelines to ensure data consistency and integrity. Implement data validation and error-checking mechanisms to maintain high-quality data. Documentation: Maintain clear documentation of data pipelines, architecture, and workflows for ease of understanding, modification, and scaling. Agile Methodology: Participate in agile development processes, including sprint planning, daily stand-ups, and code reviews. Innovation and Research: Stay up-to-date with the latest trends and advancements in big data technologies and techniques. Continuously evaluate new tools, frameworks, and technologies to improve performance and capabilities. Qualifications Bachelor’s or master’s degree in a quantitative field such as computer science, statistics or mathematics. 1.5+ years of experience on data management or reporting projects involving big data technologies Hands on experience or thorough training on technologies like AWS, Azure, GCP, Databricks, Spark. Experience in a Pharma Commercial setting or Pharma data management will be an added advantage General proficiency in programming languages such Python; experience with data management (SQL, MDM, etc.) and visualization tools like Tableau, PowerBI, etc. Excellent communication, presentation, and interpersonal skills. Attention to details, biased for quality and client centricity. Ability to work independently and as part of a cross-functional team. Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge tech projects, transforming the life sciences industry Collaborative and supportive work environment. Opportunities for professional development and growth. Skills: hdfs,sql,tableau,python,nosql databases,big data technologies,azure,microstrategy,mongodb,google cloud,data architecture,hbase,performance optimization,apache spark,cloud data platforms,power bi,apache hadoop,big data application development,documentation,etl pipelines,agile methodology,aws,data warehousing,data lakes,data integration,databricks,gcp,mdm,cassandra,powerbi Show more Show less

Description Are you interested in diving deep into the data and engineering the metrics model that drives continuous improvement for Amazon’s eCommerce systems? Do you have solid problem-solving abilities, metrics-driven decision making and want to solve problems with solutions that will meet the growing worldwide need for Amazon’s products? Then eCommerce Services is the team for you. We are part of building the world's best, most reliable, and most feature-rich eCommerce platform that provides customers the best experience possible and are looking for a top-notch Senior Business Intelligence Engineer. In eCommerce Services (eCS), we build systems that span the full range of eCommerce functionality, from Privacy, Identity, Purchase Experience and Ordering to Shipping, Tax and Financial integration. eCommerce Services manages several aspects of the customer life cycle, starting from account creation and sign in, to placing items in the shopping cart, proceeding through checkout, order processing, managing order history and post-fulfillment actions such as refunds and tax invoices. eCS services determine sales tax and shipping charges, and we ensure the privacy of our customers. Our mission is to provide a commerce foundation that accelerates business innovation and delivers a secure, available, performant, and reliable shopping experience to Amazon’s customers. We are looking for an experienced and technically skilled individual to join our Data Engineering and Analytics team as a Business Intelligence Engineer (BIE). The ideal candidate will be an analytical, results-oriented, self-motivated, and customer-focused Business Intelligence Engineer who will play a key role in continuous improvement for the critical systems that enable our entire retail business. The role will also include surfacing key product metrics as well as building critical data pipelines and analytics tools to improve efficiency and quality of strategic business decisions. Key job responsibilities Defining, developing and maintaining critical business and operational metrics reviewed on a weekly, monthly, quarterly, and annual basis. Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations. Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of reports. Identifying data needs and driving data quality improvement projects. Thought leadership on data mining and analysis. Understanding the broad range of Amazon’s data resources, which to use, how, and when. Mining and manipulating data from database tables, simulation results, and log files. Basic Qualifications 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) Experience with scripting language (e.g., Python, Java, or R) Bachelor's degree in engineering, statistics, computer science, mathematics, or a related quantitative field Preferred Qualifications Master's degree, or Advanced technical degree Knowledge of data modeling and data pipeline design Experience with statistical analysis, co-relation analysis Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A2926860 Show more Show less

Description Are you interested in diving deep into the data and engineering the metrics model that drives continuous improvement for Amazon’s eCommerce systems? Do you have solid problem-solving abilities, metrics-driven decision making and want to solve problems with solutions that will meet the growing worldwide need for Amazon’s products? Then eCommerce Services is the team for you. We are part of building the world's best, most reliable, and most feature-rich eCommerce platform that provides customers the best experience possible and are looking for a top-notch Senior Business Intelligence Engineer. In eCommerce Services (eCS), we build systems that span the full range of eCommerce functionality, from Privacy, Identity, Purchase Experience and Ordering to Shipping, Tax and Financial integration. eCommerce Services manages several aspects of the customer life cycle, starting from account creation and sign in, to placing items in the shopping cart, proceeding through checkout, order processing, managing order history and post-fulfillment actions such as refunds and tax invoices. eCS services determine sales tax and shipping charges, and we ensure the privacy of our customers. Our mission is to provide a commerce foundation that accelerates business innovation and delivers a secure, available, performant, and reliable shopping experience to Amazon’s customers. We are looking for an experienced and technically skilled individual to join our Data Engineering and Analytics team as a Business Intelligence Engineer (BIE). The ideal candidate will be an analytical, results-oriented, self-motivated, and customer-focused Business Intelligence Engineer who will play a key role in continuous improvement for the critical systems that enable our entire retail business. The role will also include surfacing key product metrics as well as building critical data pipelines and analytics tools to improve efficiency and quality of strategic business decisions. Key job responsibilities Defining, developing and maintaining critical business and operational metrics reviewed on a weekly, monthly, quarterly, and annual basis. Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations. Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of reports. Identifying data needs and driving data quality improvement projects. Thought leadership on data mining and analysis. Understanding the broad range of Amazon’s data resources, which to use, how, and when. Mining and manipulating data from database tables, simulation results, and log files. Basic Qualifications 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) Experience with scripting language (e.g., Python, Java, or R) Bachelor's degree Preferred Qualifications Master's degree, or Advanced technical degree Knowledge of data modeling and data pipeline design Experience with statistical analysis, co-relation analysis Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A2926850 Show more Show less

Description Amazon Selection and Catalog Systems (ASCS) builds the systems that host and run the world’s largest e-Commerce products catalog. We power the online buying experience for customers worldwide so they can find, discover, and buy anything they want. Our massively scaled out distributed systems process hundreds of millions of updates on the billions of products across physical, digital, and services offerings. You will be part of Catalog Support Programs (CSP) team under Catalog Support Operations (CSO) in ASCS Org. CSP provides program management, technical support, and strategic initiatives to enhance the customer experience, owning the implementation of business logic and configurations for ASCS. We are establishing a new centralized Business Intelligence team to build self-service analytical products for ASCS that provide relevant insights and data deep dives across the business. By leveraging advanced analytics and AI/ML, we will transform catalog data into predictive insights, helping prevent customer issues before they arise. Real-time intelligence will support proactive decision-making, enabling faster, data-driven decisions across the organization and driving long-term growth and an enhanced customer experience. We are looking for a creative and goal-oriented Business Intelligence Engineer (BIE) to join our team to harness the full potential of data-driven insights to make informed decisions, identify business opportunities and drive business growth. This role requires an individual with excellent analytical abilities, knowledge of business intelligence solutions, as well as business acumen and the ability to work with various tech/product teams across ASCS. This BIE will support ASCS org by owning complex reporting and automating reporting solutions, and ultimately provide insights and drivers for decision making. You must be a self-starter and be able to learn on the go. You should have excellent written and verbal communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. As a Business Intelligence Engineer in the CSP team, you will be responsible for analyzing petabytes of data to identify business trends and points of customer friction, and developing scalable solutions to enhance customer experience and safety. You will work closely with internal stakeholders to define key performance indicators (KPIs), implement them into dashboards and reports, and present insights in a concise and effective manner. This role will involve collaborating with business and tech leaders within ASCS and cross-functional teams to solve problems, create operational efficiencies, and deliver against high organizational standards. You should be able to apply a breadth of tools, data sources, and analytical techniques to answer a wide range of high-impact business questions and proactively uncover new insights that drive decision-making by senior leadership. As a key member of the CSP team, you will continually raise the bar on both quality and performance. You will bring innovation, a strategic perspective, a passionate voice, and an ability to prioritize and execute on a fast-moving set of priorities, competitive pressures, and operational initiatives. There will be a steep learning curve, adding a fair amount of business skills to the individual. Key job responsibilities Collaborate with business and product leaders to solve problems, create operational efficiencies, and deliver against high organizational standards Apply analytical techniques to answer high-impact business questions and present insights in a concise, effective manner Build and maintain a robust set of operational and business metrics to identify improvement opportunities Translate data into meaningful insights that inform strategic decision-making by senior leaders Partner with stakeholders to gather requirements, integrate data sources, and develop analytics and reporting solutions Demonstrate proficiency in SQL, data analysis, and data visualization tools to drive data-driven decision making Dive deep into technical and operational details to resolve complex problems, coordinating with engineering teams as needed Thrive in a dynamic, fast-paced environment, leveraging strong analytical skills, business acumen, and the ability to operate at scale. Define, develop, and maintain critical business and operational metrics reviewed on a regular basis. Analyze historical data to identify trends and support decision-making, including presenting results and recommendations. Collaborate with software development teams to implement analytics systems and data structures to support large-scale data analysis and reporting. Identify trends in metrics and segment them along suitable dimensions to reveal deeper dynamics. Provide actionable insights to senior leaders to inform strategies in critical areas. A day in the life A day in the life of a BIE-I will include: Working closely with cross-functional teams including Product/Program Managers, Software Development Managers, Applied/Research/Data Scientists, and Software Developers Building dashboards, performing root cause analysis, and sharing actionable insights with stakeholders to enable data-informed decision making Leading reporting and analytics initiatives to drive data-informed decision making Designing, developing, and maintaining ETL processes and data visualization dashboards using Amazon QuickSight Transforming complex business requirements into actionable analytics solutions. About The Team This central BIE team within ASCS will be responsible for building a structured analytical data layer, bringing in BI discipline by defining metrics in a standardized way and establishing a single definition of metrics across the catalog ecosystem. They will also identify clear sources of truth for critical data. The team will build and maintain the data pipelines for critical projects tailored to the needs of ASCS teams, leveraging catalog data to provide a unified view of product information. This will support real-time decision-making and empower teams to make data-driven decisions quickly, driving innovation. This team will leverage advanced analytics that can shift us to a proactive, data-driven approach, enabling informed decisions that drive growth and enhance the customer experience. This team will adopt best practices, standardize metrics, and continuously iterate on queries and data sets as they evolve. Automated quality controls and real-time monitoring will ensure consistent data quality across the organization. Basic Qualifications 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) Experience applying basic statistical methods (e.g. regression) to difficult business problems Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries) Bachelor's degree in engineering, statistics, computer science, mathematics, or a related quantitative field Experience with scripting languages (e.g., Python, Java, R) and big data technologies/languages (e.g. Spark, Hive, Hadoop, PyTorch, PySpark) Preferred Qualifications Master's degree, or Advanced technical degree Knowledge of data modeling and data pipeline design Experience with statistical analysis, co-relation analysis Experience in the data/BI space Experience in designing and implementing custom reporting systems using automation tools Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability) Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A2945831 Show more Show less

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers. Senior Data Engineer - Google Cloud  7+ years direct experience working in Enterprise Data Warehouse technologies.  7+ years in a customer facing role working with enterprise clients.  Experience with architecting, implementing and/or maintaining technical solutions in virtualized environments.  Experience in design, architecture and implementation of Data warehouses, data pipelines and flows.  Experience with developing software code in one or more languages such as Java, Python and SQL.  Experience designing and deploying large scale distributed data processing systems with few technologies such as Oracle, MS SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, HBase, Vertica, Netezza, Teradata, Tableau, Qlik or MicroStrategy.  Customer facing migration experience, including service discovery, assessment, planning, execution, and operations.  Demonstrated excellent communication, presentation, and problem-solving skills.  Experience in project governance and enterprise.  Mandatory Certifications Required Google Cloud Professional Cloud Architect Google Cloud Professional Data Engineer Mandatory skill sets-GCP Architecture/Data Engineering, SQL, Python Preferred Skill Sets-GCP Architecture/Data Engineering, SQL, Python Year of experience required-8-10 years Qualifications-B.E / B.TECH/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field Of Study Required Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Python (Programming Language) Optional Skills Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date Show more Show less

Overview We are seeking a detail-oriented and proactive Associate Manager - BIOps Program Management to support and optimize Business Intelligence Operations (BIOps) programs. This role requires a hands-on professional with a solid foundation in BI governance, data analytics, cloud-based BI platforms, automation, and operational processes. The ideal candidate will assist in implementing scalable BIOps strategies, improving BI platform performance, and ensuring the availability, reliability, and efficiency of enterprise analytics solutions. Assist in managing and maintaining BIOps programs to ensure alignment with business objectives, data governance standards, and enterprise data strategies. Contribute to the implementation of real-time monitoring, automated alerting, and self-healing capabilities to enhance BI platform uptime and performance. Support the development and enforcement of BI governance models, operational frameworks, and execution roadmaps for seamless BI delivery. Assist in standardizing and automating BI pipeline workflows, report generation, and dashboard refresh processes to improve operational efficiency. Work closely with cross-functional teams, including Data Engineering, Analytics, AI/ML, CloudOps, and DataOps, to execute Data & Analytics platform strategies and foster a data-first culture. Provide operational support for PepsiCo’s Data & Analytics program and platform management to ensure consistency with global data initiatives. Assist in enabling proactive issue identification, self-healing capabilities, and continuous platform sustainment across the PepsiCo Data Estate. Responsibilities Assist in ensuring high availability and optimal performance of BI tools such as Power BI, Tableau, SAP BO, and MicroStrategy. Contribute to real-time observability, monitoring, and incident management processes to maintain system efficiency and minimize downtime. Support efforts to optimize data models, enhance report performance, and reduce query execution times. Work closely with Data Engineering, Analytics, AI/ML, CloudOps, and DataOps teams to support data-driven decision-making. Assist in coordinating with IT, business leaders, and compliance teams to ensure BIOps processes align with regulatory and security requirements. Provide periodic updates on operational performance, risk assessments, and BIOps maturity progress to relevant stakeholders. Support end-to-end BI operations, including testing, monitoring, and sustainment of global products and projects in partnership with Data Engineering teams. Assist in maintaining service-level agreements (SLAs) and engaging with subject matter experts (SMEs) to meet business demands effectively. Partner in the work intake process and Agile management practices to ensure alignment with PepsiCo’s operational goals and objectives. Contribute to developing and maintaining operational policies, structured processes, and automation to enhance operational efficiency. Foster a customer-centric culture by advocating for customer needs and assisting in resolving challenging customer situations through active listening and problem-solving. Build and maintain strong relationships with stakeholders, ensuring transparency and managing expectations effectively. Assist in fostering a collaborative, high-performing team culture by supporting the team’s operational growth and skill development. Help ensure agility within the team by enabling swift priority changes while maintaining productivity. Leverage basic knowledge of cloud infrastructure and BI platforms to support operational requirements and build trust within the organization. Qualifications 7+ years of technology work experience in a large-scale global organization - CPG preferred. 7+ years of experience in the Data & Analytics field, with exposure to BI operations and tools. 7+ years of experience working within a cross-functional IT organization. 4+ years of experience in a leadership or team coordination role. Ability to empathize with customers, convey confidence, and explain technical issues to varied audiences effectively. Ability to prioritize customer needs and advocate for timely resolutions through appropriate channels. Demonstrated ability to take ownership, drive results, and ensure operational excellence. Passion for delivering excellent customer experiences and fostering a customer-first culture. Willingness to learn new skills and technologies in a dynamic environment. Hands-on experience in providing technical support for BI or data-related solutions, preferably in a Microsoft Azure environment. Familiarity with modern site reliability practices, including monitoring, incident management, and operational resilience. Experience contributing to operational excellence by supporting the management of BI solutions and improving system performance. Ability to analyze complex issues, identify root causes, and implement effective solutions. Ability to build and maintain strong cross-functional relationships based on trust and respect. Proven ability to drive alignment and consensus across virtual teams and multiple functions through clear communication and collaboration. Track record of achieving results in fast-paced and evolving environments. Experience working in global or multi-country environments, preferably with data and BI implementations. Understanding of key concepts related to master data management, data standards, analytics, and digital transformation. Basic knowledge of data acquisition, data catalogs, and data management tools. Strong interpersonal skills with the ability to influence and persuade stakeholders while fostering lasting partnerships Show more Show less

Overview We are seeking a detail-oriented and proactive Associate Manager - BIOps Program Management to support and optimize Business Intelligence Operations (BIOps) programs. This role requires a hands-on professional with a solid foundation in BI governance, data analytics, cloud-based BI platforms, automation, and operational processes. The ideal candidate will assist in implementing scalable BIOps strategies, improving BI platform performance, and ensuring the availability, reliability, and efficiency of enterprise analytics solutions. Assist in managing and maintaining BIOps programs to ensure alignment with business objectives, data governance standards, and enterprise data strategies. Contribute to the implementation of real-time monitoring, automated alerting, and self-healing capabilities to enhance BI platform uptime and performance. Support the development and enforcement of BI governance models, operational frameworks, and execution roadmaps for seamless BI delivery. Assist in standardizing and automating BI pipeline workflows, report generation, and dashboard refresh processes to improve operational efficiency. Work closely with cross-functional teams, including Data Engineering, Analytics, AI/ML, CloudOps, and DataOps, to execute Data & Analytics platform strategies and foster a data-first culture. Provide operational support for PepsiCo’s Data & Analytics program and platform management to ensure consistency with global data initiatives. Assist in enabling proactive issue identification, self-healing capabilities, and continuous platform sustainment across the PepsiCo Data Estate. Responsibilities Assist in ensuring high availability and optimal performance of BI tools such as Power BI, Tableau, SAP BO, and MicroStrategy. Contribute to real-time observability, monitoring, and incident management processes to maintain system efficiency and minimize downtime. Support efforts to optimize data models, enhance report performance, and reduce query execution times. Work closely with Data Engineering, Analytics, AI/ML, CloudOps, and DataOps teams to support data-driven decision-making. Assist in coordinating with IT, business leaders, and compliance teams to ensure BIOps processes align with regulatory and security requirements. Provide periodic updates on operational performance, risk assessments, and BIOps maturity progress to relevant stakeholders. Support end-to-end BI operations, including testing, monitoring, and sustainment of global products and projects in partnership with Data Engineering teams. Assist in maintaining service-level agreements (SLAs) and engaging with subject matter experts (SMEs) to meet business demands effectively. Partner in the work intake process and Agile management practices to ensure alignment with PepsiCo’s operational goals and objectives. Contribute to developing and maintaining operational policies, structured processes, and automation to enhance operational efficiency. Foster a customer-centric culture by advocating for customer needs and assisting in resolving challenging customer situations through active listening and problem-solving. Build and maintain strong relationships with stakeholders, ensuring transparency and managing expectations effectively. Assist in fostering a collaborative, high-performing team culture by supporting the team’s operational growth and skill development. Help ensure agility within the team by enabling swift priority changes while maintaining productivity. Leverage basic knowledge of cloud infrastructure and BI platforms to support operational requirements and build trust within the organization. Qualifications 7+ years of technology work experience in a large-scale global organization - CPG preferred. 7+ years of experience in the Data & Analytics field, with exposure to BI operations and tools. 7+ years of experience working within a cross-functional IT organization. 4+ years of experience in a leadership or team coordination role. Ability to empathize with customers, convey confidence, and explain technical issues to varied audiences effectively. Ability to prioritize customer needs and advocate for timely resolutions through appropriate channels. Demonstrated ability to take ownership, drive results, and ensure operational excellence. Passion for delivering excellent customer experiences and fostering a customer-first culture. Willingness to learn new skills and technologies in a dynamic environment. Hands-on experience in providing technical support for BI or data-related solutions, preferably in a Microsoft Azure environment. Familiarity with modern site reliability practices, including monitoring, incident management, and operational resilience. Experience contributing to operational excellence by supporting the management of BI solutions and improving system performance. Ability to analyze complex issues, identify root causes, and implement effective solutions. Ability to build and maintain strong cross-functional relationships based on trust and respect. Proven ability to drive alignment and consensus across virtual teams and multiple functions through clear communication and collaboration. Track record of achieving results in fast-paced and evolving environments. Experience working in global or multi-country environments, preferably with data and BI implementations. Understanding of key concepts related to master data management, data standards, analytics, and digital transformation. Basic knowledge of data acquisition, data catalogs, and data management tools. Strong interpersonal skills with the ability to influence and persuade stakeholders while fostering lasting partnerships Show more Show less

We at Nice Software Solutions Pvt. Ltd. are looking for #MicroStartegyDevelopers for #Pune & #Nagpur Locations who are available for #ImmediateJoining Please review the details below to see if you or someone you know might be a good fit for this role: Total Experience: 4+ Years Work from Office Location: Pune/Nagpur Must Haves: Strong hands-on experience with #SQL, #MicroStartegy and minimum 4 years of experience Support BI solution architecture and development across complex data landscapes, leveraging MicroStrategy V10.X expertise. Contribute to requirements gathering and Agile development, providing thought leadership and technical guidance throughout the project lifecycle. Over 4 years of experience with MicroStrategy V10.X or later, specializing in designing, developing, and implementing reporting solutions, data profiling, and complex data integration using SQL. Proficient in creating interactive reports and dashboards, and skilled with MicroStrategy tools including Architect, Desktop, Web, Mobile, and Object Manager. Good to have: MicroStrategy Certification Please share your Cv - nsharma@nicesoftwaresolutions.com Show more Show less

Description Are you interested in shaping the future of entertainment? Prime Video's technology, marketing, and operations teams are creating the best-in-class digital video experience. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. Prime Video India is seeking a Business Intelligence Engineer to drive customer insights for the PV India BI team. As a Business Intelligence Engineer, you will generate insights that support Prime Video India's content, programming, marketing, and marketplace lines of business. The successful candidate will be a self-starter who is comfortable with ambiguity and large data sets. They will have strong attention to detail and an ability to work in a fast-paced and entrepreneurial environment. They will have strong SQL skills, experience building visual dashboards, and the ability to clearly communicate information to business stakeholders. Key job responsibilities Strong interest and ability to take complex datasets and boil them down to actionable data visualizations. Own the design, development, and maintenance of ongoing performance dashboards, metrics, reports, analyses, etc. to drive key business decisions. Build scalable, efficient, and automated data processes to inform business decision making. Proactively develop new metrics and studies to quantify customer behavior and reduce customer churn. Basic Qualifications Bachelor's degree in statistics, business analytics, data analytics, data science, computer science or related field Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) Speak, write, and read fluently in English Preferred Qualifications Master's degree, or Advanced technical degree Experience applying basic statistical methods (e.g. regression) to difficult business problems Experience with statistical analysis, co-relation analysis Experience with scripting language (e.g., Python, Java, or R) Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ASSPL - Maharashtra Job ID: A2964622 Show more Show less

About The Role Role Purpose The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters ? Do 1. Instrumental in understanding the requirements and design of the product/ software Develop software solutions by studying information needs, studying systems flow, data usage and work processes Investigating problem areas followed by the software development life cycle Facilitate root cause analysis of the system issues and problem statement Identify ideas to improve system performance and impact availability Analyze client requirements and convert requirements to feasible design Collaborate with functional teams or systems analysts who carry out the detailed investigation into software requirements Conferring with project managers to obtain information on software capabilities ? 2. Perform coding and ensure optimal software/ module development Determine operational feasibility by evaluating analysis, problem definition, requirements, software development and proposed software Develop and automate processes for software validation by setting up and designing test cases/scenarios/usage cases, and executing these cases Modifying software to fix errors, adapt it to new hardware, improve its performance, or upgrade interfaces. Analyzing information to recommend and plan the installation of new systems or modifications of an existing system Ensuring that code is error free or has no bugs and test failure Preparing reports on programming project specifications, activities and status Ensure all the codes are raised as per the norm defined for project / program / account with clear description and replication patterns Compile timely, comprehensive and accurate documentation and reports as requested Coordinating with the team on daily project status and progress and documenting it Providing feedback on usability and serviceability, trace the result to quality risk and report it to concerned stakeholders ? 3. Status Reporting and Customer Focus on an ongoing basis with respect to project and its execution Capturing all the requirements and clarifications from the client for better quality work Taking feedback on the regular basis to ensure smooth and on time delivery Participating in continuing education and training to remain current on best practices, learn new programming languages, and better assist other team members. Consulting with engineering staff to evaluate software-hardware interfaces and develop specifications and performance requirements Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code Documenting very necessary details and reports in a formal way for proper understanding of software from client proposal to implementation Ensure good quality of interaction with customer w.r.t. e-mail content, fault report tracking, voice calls, business etiquette etc Timely Response to customer requests and no instances of complaints either internally or externally ? Deliver No. Performance Parameter Measure 1. Continuous Integration, Deployment & Monitoring of Software 100% error free on boarding & implementation, throughput %, Adherence to the schedule/ release plan 2. Quality & CSAT On-Time Delivery, Manage software, Troubleshoot queries, Customer experience, completion of assigned certifications for skill upgradation 3. MIS & Reporting 100% on time MIS & report generation Mandatory Skills: Microstrategy. Experience3-5 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

The BI Support Developer will collaborate cross-functionally to identify issues and deliver sustainable solutions that meet business needs. Our ideal candidate is a problem solver, an effective communicator, highly organized, and is always driven to learn new skills. Youll join a team of innovative, collaborative, and resourceful people who think differently, think big, and persevere through all challenges. Youll be able to: Business as Usual Monitor production support processes and report metrics related to scheduled jobs, data reconciliations, and production data flows Triage and resolve issues raised by end users independently and collaboratively with Enterprise Technology and Data Management teams Perform ad hoc data analyses and provide technical support as necessary Continuous Improvement Aim to learn the business context of dashboards to better understand customers’ needs and troubleshoot issues Continuously enhance and troubleshoot the performance, capabilities, and functionality of BI solutions (e.g., MicroStrategy, Tableau, etc.) Identify ways to improve our support processes and existing products Adapt to evolving best practices and implement dashboard design standards Stay up-to-date on latest technology trends within the BI industry Summarize software update changes and proactively identify potential impacts to current products Teaming Be a thought partner to other Financial Visual Analytics team members for the design, management, and documentation of solutions for new reports and dashboards Contribute to the team’s inclusive team environment that emphasizes open communication, knowledge sharing, and timely solution delivery Contribute to a team of technically minded individuals working to establish business analytics best practices that drive improved efficiency and decision making across the organization Your experience includes: B.S. degree in a quantitative field 5+ years of experience with data visualization tools including Tableau and MicroStrategy 5+ years of overall experience with focus on delivery of Business Intelligence, Analytics, Data Engineering, or a related field Demonstrated skill in using advanced SQL, stored procedures, and columnar databases (Vertica preferred) Strong written and oral communication and interpersonal skills, especially with individuals with varying technical knowledge Documenting technical workflows and specifications Ability to seek guidance and learn new skills from peers You’ll stand out if you have: Passion for developing high performance analytical solutions with demonstrated experience in optimizing reporting and visualization architecture Interest in dashboard building with a focus on data storytelling and optimizing user experience Ability to deliver complex projects using effective planning, pragmatic approaches, and collaboration despite obstacles and ambiguity Experience with markup languages such as HTML and CSS Experience with project management tools and methodologies such as Jira, Confluence, and Scrum

Experience in developing and maintaining Business Intelligence dashboards and reports using Power BI is Must; MicroStrategy experience is a plus Proficiency in data automation and scripting using Python, VBA, and Power Automate Hands-on experience with the Microsoft Power Platform, including Power Apps and Power Automate, to build custom solutions and automate workflows Advanced MS Office skills, particularly in Excel (including Power Pivot and Power View) Strong Functional knowledge of Warehousing, Transportations and supporting systems like WMS/TMS Working knowledge of SQL Server, including writing and optimizing queries Strong ability to work with and manipulate large datasets, including flat files and structured data sourcesWork Experience: 7-10 years of experience with Proven expertise in data analysis and business intelligence (BI) report development, with a strong focus on enhancing accuracy and efficiency Educational Qualification Master s degree in Operations/Supply Chain Management, or Engineering (preferred) Microsoft Power BI certification & power Platform is a strong plus Strong attention to detail with the ability to maintain a strategic, big-picture perspective Highly analytical mindset with the ability to synthesize and present complex data clearly Fluent in English, both written and spoken Demonstrates transparency and proactive communication Strong sense of accountability with a consistent ability to meet deadlines

About Lowe s Lowe s Companies, Inc. (NYSE: LOW) is a FORTUNE 50 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com. About the Team This team is responsible to perform quantitative analysis or dashboard building needed to help guide key business decisions. This includes applying knowledge of Lowes data concepts to the creation of relevant analytic designs and making sound, data driven business recommendations. Job Summary This role leverages multiple resources, advanced analytic methodologies, and data streams to support recommendations for business decisions and reporting solutions. With a focus specifically on Pro & Services, this role provides data capture capabilities to support analytics needs for all Pro & Services business areas. This role translates business needs to effective analytics specifications that provide metrics for analytic solutions across various initiatives. This individual executes analytic, reporting, and automation projects with minimal support while getting direction from manager and senior level staff to provide expertise in problem analysis, solution implementation, and ongoing opportunities in the assigned business area. To be successful, the individual in this role must have a fair understanding of analytical techniques and disparate data sources both internal and external, reporting tools and techniques. Roles & Responsibilities: Core Responsibilities: Responsible for providing area-specific business data analytics, development and deployment of necessary dashboards and reporting. Helps gather business requirements and translates into reporting solutions, analytic tools, and dashboards to deliver actionable data to end users. Synthesizes findings, prepares reports and presentations, and presents findings to management. Communicates data driven insights to leaders by preparing analyses using multiple data sources, translating findings into clear, understandable themes, identifying complete, consistent, and actional insights and recommendations. Develops, configures, and modifies database components within various computing environments by using various tools such as SQL and/or Power BI to access, manipulate, and present data. Years of Experience: 1-2 years of experience using analytic tools (e.g., SQL, Alteryx, Knime, SAS). 1-2 years of experience using data visualization tools (e.g., Power BI, Microstrategy, Tableau). 1-2 years of experience working with Enterprise level databases (e.g., Hadoop, Teradata, GCP, Oracle, DB2). Education Qualification & Certifications (optional) Required Minimum Qualifications : Bachelor s degree in business administration, Finance, Mathematics, or Related Fields and 1 Years Related Experience OR master s degree in business administration, Finance, Mathematics, or Related Fields. Skill Set Required Primary Skills (must have) Hands on experience in analytical tools (e.g., SQL, Alteryx, Knime, SAS). Experience using data visualization tools (e.g., Power BI, Microstrategy, Tableau). Experience working with Enterprise level databases (e.g., Hadoop, Teradata, GCP, Oracle, DB2). Secondary Skills (desired) Basic understanding of the retail/home improvement industry

About The Role : Job TitleSenior SAS Developer, AVP LocationPune, India Role Description The Senior Developer works as a member of the IT department which develops programs for the regulatory reporting, Stress Testing and reports for the Board. The developer will be a part of the SAS Team. Beside the small team in Frankfurt. This position covers different roles with various interfaces to other technologies, mainly Oracle, Java, MicroStrategy and Unix. Furthermore, there is a close collaboration with Business Group Finance and Risk Operations and Production Support and other IT areas. Our department is following the agile working model. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy, Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Learning functional and technical context of the existing code base Integration into the existing team and technical and functional enhancement of the code based on the existing platform Close cooperation with the Algorithmic Solutions team (AlgoS). Development and refinement of the functional requirements provided by AlgoS Implementation of the requirements according to the coding standards given time limits Breaking down technical specifications into suitable implementation packages for junior developers Documentation and continuous testing of new development Being point of contact for audit requests Participation on regular meetings following the agile working model (dbAgile@Scale) being a part of a squad and chapter Participation in refinement and code clean up Designing the new target architecture and breakdown into technical specifications Close collaboration with domain architecture team Supporting the replacement of SAS with a strategic solution Your skills and experience At least 9-12 years experience in SAS programming using Base & Macro (V9) Experience in development of complex topics and code Working knowledge using SAS/Connect to Oracle Advanced experience working with mass data in very large databases and tables Experience with performance issues related to big data on a huge platform Experience with testing environments and the development of test cases Experience with SAS Administrator activities Working knowledge developing SQL Fluent in English (written/verbal) Excellent analytical skills, flexibility regarding problem solving, open minded, able to share information, transfer knowledge and expertise to team members Service based architecture and designing of the same Technical architecture especially framework design Desirable Knowledge in GIT Bitbucket, Unix scripting and Python Knowledge in financial business, especially in the counterparty credit risk area Experience with SAS GRID Manager Experience with Airflow/Google Cloud composer Generative programming DevOps How we'll support you Training and development to help you excel in your career. Coaching and support from experts in your team. A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs. About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) - Experience with scripting language (e.g., Python, Java, or R) Amazon’s ROW (Rest of World) Supply Chain Analytics team is looking for talented Business Intelligence Engineers who develop solutions to better manage/optimize speed and operations planning while providing the best experience to our customers at the lowest possible price. Our team members have an opportunity to be at the forefront of supply chain thought leadership by working on some of the most difficult problems with some of the best research scientists, product/program managers, software developers and business leaders in the industry, shaping our roadmap to drive real impact on Amazon's long-term profitability. We are an agile team, building new analysis from ground up, proposing new concepts and technology to meet business needs, and enjoy and excel at diving into data to analyze root causes and implement long-term solutions. As a BIE within the group, you will analyze massive data sets, identify areas to improve, define metrics to measure and monitor programs, build models to predict and optimize and most importantly work with different stakeholders to drive improvements over time. You will also work closely with internal business teams to extract or mine information from our existing systems to create new analysis, build analytical products and cause impact across wider teams in intuitive ways. This position provides opportunities to influence high visibility/high impact areas in the organization. They are right a lot, work very efficiently, and routinely deliver results on time. They have a global view of the analytical and/or science solutions that they build and consistently think in terms of automating, expanding, and scaling the results broadly. This position also requires you to work across a variety of teams, including transportation, operations, finance, delivery experience, people experience and platform (software) teams. Successful candidates must thrive in fast-paced environments which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, extract and manipulate data across various data marts, and align research focuses on Amazon’s strategic needs. We are looking for people with a flair for recognizing trends and patterns while correlating it to the business problem at hand. If you have an uncanny ability to decipher the exact policy/mechanism/solution to address the challenge and ability to influence folks using hard data (and some tact) then we are looking for you! Key job responsibilities • Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations • Collaborating with product and software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of analytical and machine learning models • Mining and manipulating data from database tables, simulation results, and log files • Identifying data needs and driving data quality improvement projects • Understanding the broad range of Amazon’s data resources, which to use, how, and when • Thought leadership on data mining and analysis • Modeling complex/abstract problems and discovering insights and developing solutions/products using statistics, data mining, science/machine-learning and visualization techniques • Helping to automate processes by developing deep-dive tools, metrics, and dashboards to communicate insights to the business teams • Collaborating effectively with internal end-users, cross-functional software development teams, and technical support/sustaining engineering teams to solve problems and implement new solutions About the team ROW (Rest of World) Supply Chain analytics team is hiring multiple BIE roles in speed, planning, inbound and SNOP functions. The role will be responsible for generating insights, defining metrics to measure and monitor, building analytical products, automation and self-serve and overall driving business improvements. The role involves combination of data-analysis, visualization, statistics, scripting, a bit of machine learning and usage of AWS services. Master's degree, or Advanced technical degree Knowledge of data modeling and data pipeline design Experience with statistical analysis, co-relation analysis Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

What’s the role all about? As a Specialist BI Developer, you’ll be a key contributor to developing Reports in a multi-region, multi-tenant SaaS product. You’ll collaborate with the core R&D team to build high-performance Reports to serve the use cases of several applications in the suite. How will you make an impact? Take ownership of the software development lifecycle, including design, development, unit testing, and deployment, working closely with QA teams. Ensure that architectural concepts are consistently implemented across the product. Act as a product expert within R&D, understanding the product’s requirements and its market positioning. Work closely with cross-functional teams (Product Managers, Sales, Customer Support, and Services) to ensure successful product delivery. Translate business needs to technical specifications Analyze the requirement and work with Product team to freeze requirements in accordance with reporting application capabilities Manage the Project in JIRA Conduct Agile ceremonies in absence of Scrum Master Conduct design and code reviews Have you got what it takes? Bachelor/Master of Engineering Degree in Computer Science, Electronic Engineering or equivalent from reputed institute. 8-11 years of BI report development experience Expertise in SQL & any cloud-based databases. Expertise in Snowflake is advantage Expertise in any BI tools like Tableau, Power BI, MicroStrategy etc.. Experience working in enterprise Data warehouse/ Data Lake system Strong knowledge of Analytical Data base and schemas. Expertise in optimizing the data extraction process and queries Experience in managing project in JIRA, conduct Agile ceremonies Experience working with Data modelers and Governance team Experience in database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework Experience working in functional testing, Performance testing etc.. Experience working in any Performance test script generation – JMeter, Gatling etc.. Experience working in automating the Testing process for E2E and Regression cases. Experience working in JAVA/ Web services will be added advantage. Experience with public cloud infrastructure and technologies such as AWS/Azure/GCP etc What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr! Enjoy NICE-FLEX! At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 6620 Reporting into: Tech Manager Role Type: Individual Contributor

Position: Analytics Architect (MicroStrategy) Purpose of the Position: Analytics Architect is responsible for architecting and building comprehensive data-focused solutions that adhere to business objectives. The architect must evaluate functional and technical business requirements and be able to transform them into conceptual/logical data models. You will be responsible for partnering with key business stakeholders to develop solutions that adhere to corporate architecture standards. To be successful in this role, one must be able to work effectively in a fast-paced agile environment and work with minimal supervision on multiple concurrent projects. Location: India (Nagpur, Pune preferred) Type of Employment: Full time Key Result Areas and Activities: The individual requires demonstrating expertise and results in the following KRAs: Discover & address unmet needs Architect solutions & coordinate their implementation Lead & support growth opportunities Research & experiment to innovate Build & reuse knowledge & expertise Nurture & grow technical talent Architect and Design Solutions ? Current state assessment for prescribing a D&A modernization strategy and data-culture transformation roadmap. Architect and Design modern, high-performance, secure, self-service, adoption driven analytics solutions incorporating people, process, and technology levers. Review analytics solutions and processes for optimization and business value acceleration. Provide Advisory and Consulting Services ? Drive consulting engagements in areas of expertise across projects/accounts. Support pre-sales activities including engaging prospects, conducting workshops, developing point of views/solutions/scoping, writing proposals, engaging partners, and supporting sales and marketing enablement. Systematically Develop and Maintain Offerings ? Support offering development and lead its pilot implementation. Create implementation methodologies, processes, templates are defined, enhanced, and internalized for the prioritized solutions. Essential Skills: Strong knowledge of MicroStrategy architecture and components for effective solutioning. Proficient in creating schema objects (attributes, facts, logical tables, hierarchies) and public objects (reports, metrics, filters, prompts, documents, dashboards) Proficient in developing complex reports using MicroStrategy Desktop and Web, including templates, filters, prompts, consolidations, and custom groups. Experience with MicroStrategy Transaction Services and ensuring robust user security Proficient in multiple analytics platforms such as MSTR with exposure on Tableau, Power BI and SSRS (any 1 at a minimum) Thorough understanding of relational database platforms and experience in designing & building dimensional data models Well versed with the latest trends in analytics, business intelligence and data visualization Desirable Skills: Knowledge of MicroStrategy report performance tuning and optimization techniques will act as value add Strong technical skills and thorough understanding of Data Warehouse Concepts Experience with Microsoft PowerQuery, PowerBI Well versed with the latest trends in analytics, business intelligence and data visualization Qualification: Bachelor?s degree in computer science, engineering, or related field (master's degree is a plus) Demonstrated continued learning through one or more technical certifications or related methods At least 8+ years of relevant experience; two years may be substituted for a master?s degree Qualities: Self-motivated and focused on delivering outcomes for a fast-growing team and firm Able to communicate persuasively through speaking, writing, and client presentations Able to consult, write, and present persuasively Able to work in a self-organized and cross-functional team Able to iterate based on new information, peer reviews, and feedback Able to work with teams and clients in different time zones Research focused mindset and Experience with team management Location India Years Of Exp 10 to 15 years

Associate Manager, D&AI BIOps (Business Intelligence Operations) Agro & Sustainability Overview We are seeking a detail-oriented and proactive Associate Manager BIOps Program Management to support and optimize Business Intelligence Operations (BIOps) programs. This role requires a hands-on professional with a solid foundation in BI governance, data analytics, cloud-based BI platforms, automation, and operational processes. The ideal candidate will assist in implementing scalable BIOps strategies, improving BI platform performance, and ensuring the availability, reliability, and efficiency of enterprise analytics solutions. Assist in managing and maintaining BIOps programs to ensure alignment with business objectives, data governance standards, and enterprise data strategies. Contribute to the implementation of real-time monitoring, automated alerting, and self-healing capabilities to enhance BI platform uptime and performance. Support the development and enforcement of BI governance models, operational frameworks, and execution roadmaps for seamless BI delivery. Assist in standardizing and automating BI pipeline workflows, report generation, and dashboard refresh processes to improve operational efficiency. Work closely with cross-functional teams, including Data Engineering, Analytics, AI/ML, CloudOps, and DataOps, to execute Data & Analytics platform strategies and foster a data-first culture. Provide operational support for PepsiCos Data & Analytics program and platform management to ensure consistency with global data initiatives. Assist in enabling proactive issue identification, self-healing capabilities, and continuous platform sustainment across the PepsiCo Data Estate. Responsibilities Assist in ensuring high availability and optimal performance of BI tools such as Power BI, Tableau, SAP BO, and MicroStrategy. Contribute to real-time observability, monitoring, and incident management processes to maintain system efficiency and minimize downtime. Support efforts to optimize data models, enhance report performance, and reduce query execution times. Work closely with Data Engineering, Analytics, AI/ML, CloudOps, and DataOps teams to support data-driven decision-making. Assist in coordinating with IT, business leaders, and compliance teams to ensure BIOps processes align with regulatory and security requirements. Provide periodic updates on operational performance, risk assessments, and BIOps maturity progress to relevant stakeholders. Support end-to-end BI operations, including testing, monitoring, and sustainment of global products and projects in partnership with Data Engineering teams. Assist in maintaining service-level agreements (SLAs) and engaging with subject matter experts (SMEs) to meet business demands effectively. Partner in the work intake process and Agile management practices to ensure alignment with PepsiCos operational goals and objectives. Contribute to developing and maintaining operational policies, structured processes, and automation to enhance operational efficiency. Foster a customer-centric culture by advocating for customer needs and assisting in resolving challenging customer situations through active listening and problem-solving. Build and maintain strong relationships with stakeholders, ensuring transparency and managing expectations effectively. Assist in fostering a collaborative, high-performing team culture by supporting the teams operational growth and skill development. Help ensure agility within the team by enabling swift priority changes while maintaining productivity. Leverage basic knowledge of cloud infrastructure and BI platforms to support operational requirements and build trust within the organization. Qualifications 7+ years of technology work experience in a large-scale global organization CPG preferred. 7+ years of experience in the Data & Analytics field, with exposure to BI operations and tools. 7+ years of experience working within a cross-functional IT organization. 4+ years of experience in a leadership or team coordination role. Ability to empathize with customers, convey confidence, and explain technical issues to varied audiences effectively. Ability to prioritize customer needs and advocate for timely resolutions through appropriate channels. Demonstrated ability to take ownership, drive results, and ensure operational excellence. Passion for delivering excellent customer experiences and fostering a customer-first culture. Willingness to learn new skills and technologies in a dynamic environment. Hands-on experience in providing technical support for BI or data-related solutions, preferably in a Microsoft Azure environment. Familiarity with modern site reliability practices, including monitoring, incident management, and operational resilience. Experience contributing to operational excellence by supporting the management of BI solutions and improving system performance. Ability to analyze complex issues, identify root causes, and implement effective solutions. Ability to build and maintain strong cross-functional relationships based on trust and respect. Proven ability to drive alignment and consensus across virtual teams and multiple functions through clear communication and collaboration. Track record of achieving results in fast-paced and evolving environments. Experience working in global or multi-country environments, preferably with data and BI implementations. Understanding of key concepts related to master data management, data standards, analytics, and digital transformation. Basic knowledge of data acquisition, data catalogs, and data management tools. Strong interpersonal skills with the ability to influence and persuade stakeholders while fostering lasting partnerships

Overview We are seeking a detail-oriented and proactive Associate Manager BIOps Program Management to support and optimize Business Intelligence Operations (BIOps) programs. This role requires a hands-on professional with a solid foundation in BI governance, data analytics, cloud-based BI platforms, automation, and operational processes. The ideal candidate will assist in implementing scalable BIOps strategies, improving BI platform performance, and ensuring the availability, reliability, and efficiency of enterprise analytics solutions. Assist in managing and maintaining BIOps programs to ensure alignment with business objectives, data governance standards, and enterprise data strategies. Contribute to the implementation of real-time monitoring, automated alerting, and self-healing capabilities to enhance BI platform uptime and performance. Support the development and enforcement of BI governance models, operational frameworks, and execution roadmaps for seamless BI delivery. Assist in standardizing and automating BI pipeline workflows, report generation, and dashboard refresh processes to improve operational efficiency. Work closely with cross-functional teams, including Data Engineering, Analytics, AI/ML, CloudOps, and DataOps, to execute Data & Analytics platform strategies and foster a data-first culture. Provide operational support for PepsiCos Data & Analytics program and platform management to ensure consistency with global data initiatives. Assist in enabling proactive issue identification, self-healing capabilities, and continuous platform sustainment across the PepsiCo Data Estate. Responsibilities Assist in ensuring high availability and optimal performance of BI tools such as Power BI, Tableau, SAP BO, and MicroStrategy. Contribute to real-time observability, monitoring, and incident management processes to maintain system efficiency and minimize downtime. Support efforts to optimize data models, enhance report performance, and reduce query execution times. Work closely with Data Engineering, Analytics, AI/ML, CloudOps, and DataOps teams to support data-driven decision-making. Assist in coordinating with IT, business leaders, and compliance teams to ensure BIOps processes align with regulatory and security requirements. Provide periodic updates on operational performance, risk assessments, and BIOps maturity progress to relevant stakeholders. Support end-to-end BI operations, including testing, monitoring, and sustainment of global products and projects in partnership with Data Engineering teams. Assist in maintaining service-level agreements (SLAs) and engaging with subject matter experts (SMEs) to meet business demands effectively. Partner in the work intake process and Agile management practices to ensure alignment with PepsiCos operational goals and objectives. Contribute to developing and maintaining operational policies, structured processes, and automation to enhance operational efficiency. Foster a customer-centric culture by advocating for customer needs and assisting in resolving challenging customer situations through active listening and problem-solving. Build and maintain strong relationships with stakeholders, ensuring transparency and managing expectations effectively. Assist in fostering a collaborative, high-performing team culture by supporting the teams operational growth and skill development. Help ensure agility within the team by enabling swift priority changes while maintaining productivity. Leverage basic knowledge of cloud infrastructure and BI platforms to support operational requirements and build trust within the organization. Qualifications 7+ years of technology work experience in a large-scale global organization CPG preferred. 7+ years of experience in the Data & Analytics field, with exposure to BI operations and tools. 7+ years of experience working within a cross-functional IT organization. 4+ years of experience in a leadership or team coordination role. Ability to empathize with customers, convey confidence, and explain technical issues to varied audiences effectively. Ability to prioritize customer needs and advocate for timely resolutions through appropriate channels. Demonstrated ability to take ownership, drive results, and ensure operational excellence. Passion for delivering excellent customer experiences and fostering a customer-first culture. Willingness to learn new skills and technologies in a dynamic environment. Hands-on experience in providing technical support for BI or data-related solutions, preferably in a Microsoft Azure environment. Familiarity with modern site reliability practices, including monitoring, incident management, and operational resilience. Experience contributing to operational excellence by supporting the management of BI solutions and improving system performance. Ability to analyze complex issues, identify root causes, and implement effective solutions. Ability to build and maintain strong cross-functional relationships based on trust and respect. Proven ability to drive alignment and consensus across virtual teams and multiple functions through clear communication and collaboration. Track record of achieving results in fast-paced and evolving environments. Experience working in global or multi-country environments, preferably with data and BI implementations. Understanding of key concepts related to master data management, data standards, analytics, and digital transformation. Basic knowledge of data acquisition, data catalogs, and data management tools. Strong interpersonal skills with the ability to influence and persuade stakeholders while fostering lasting partnerships

Associate Manager, D&AI BIOps (Business Intelligence Operations) North America Overview We are seeking a detail-oriented and proactive Associate Manager BIOps Program Management to support and optimize Business Intelligence Operations (BIOps) programs. This role requires a hands-on professional with a solid foundation in BI governance, data analytics, cloud-based BI platforms, automation, and operational processes. The ideal candidate will assist in implementing scalable BIOps strategies, improving BI platform performance, and ensuring the availability, reliability, and efficiency of enterprise analytics solutions. Assist in managing and maintaining BIOps programs to ensure alignment with business objectives, data governance standards, and enterprise data strategies. Contribute to the implementation of real-time monitoring, automated alerting, and self-healing capabilities to enhance BI platform uptime and performance. Support the development and enforcement of BI governance models, operational frameworks, and execution roadmaps for seamless BI delivery. Assist in standardizing and automating BI pipeline workflows, report generation, and dashboard refresh processes to improve operational efficiency. Work closely with cross-functional teams, including Data Engineering, Analytics, AI/ML, CloudOps, and DataOps, to execute Data & Analytics platform strategies and foster a data-first culture. Provide operational support for PepsiCos Data & Analytics program and platform management to ensure consistency with global data initiatives. Assist in enabling proactive issue identification, self-healing capabilities, and continuous platform sustainment across the PepsiCo Data Estate. Responsibilities Assist in ensuring high availability and optimal performance of BI tools such as Power BI, Tableau, SAP BO, and MicroStrategy. Contribute to real-time observability, monitoring, and incident management processes to maintain system efficiency and minimize downtime. Support efforts to optimize data models, enhance report performance, and reduce query execution times. Work closely with Data Engineering, Analytics, AI/ML, CloudOps, and DataOps teams to support data-driven decision-making. Assist in coordinating with IT, business leaders, and compliance teams to ensure BIOps processes align with regulatory and security requirements. Provide periodic updates on operational performance, risk assessments, and BIOps maturity progress to relevant stakeholders. Support end-to-end BI operations, including testing, monitoring, and sustainment of global products and projects in partnership with Data Engineering teams. Assist in maintaining service-level agreements (SLAs) and engaging with subject matter experts (SMEs) to meet business demands effectively. Partner in the work intake process and Agile management practices to ensure alignment with PepsiCos operational goals and objectives. Contribute to developing and maintaining operational policies, structured processes, and automation to enhance operational efficiency. Foster a customer-centric culture by advocating for customer needs and assisting in resolving challenging customer situations through active listening and problem-solving. Build and maintain strong relationships with stakeholders, ensuring transparency and managing expectations effectively. Assist in fostering a collaborative, high-performing team culture by supporting the teams operational growth and skill development. Help ensure agility within the team by enabling swift priority changes while maintaining productivity. Leverage basic knowledge of cloud infrastructure and BI platforms to support operational requirements and build trust within the organization. Qualifications 7+ years of technology work experience in a large-scale global organization CPG preferred. 7+ years of experience in the Data & Analytics field, with exposure to BI operations and tools. 7+ years of experience working within a cross-functional IT organization. 4+ years of experience in a leadership or team coordination role. Ability to empathize with customers, convey confidence, and explain technical issues to varied audiences effectively. Ability to prioritize customer needs and advocate for timely resolutions through appropriate channels. Demonstrated ability to take ownership, drive results, and ensure operational excellence. Passion for delivering excellent customer experiences and fostering a customer-first culture. Willingness to learn new skills and technologies in a dynamic environment. Hands-on experience in providing technical support for BI or data-related solutions, preferably in a Microsoft Azure environment. Familiarity with modern site reliability practices, including monitoring, incident management, and operational resilience. Experience contributing to operational excellence by supporting the management of BI solutions and improving system performance. Ability to analyze complex issues, identify root causes, and implement effective solutions. Ability to build and maintain strong cross-functional relationships based on trust and respect. Proven ability to drive alignment and consensus across virtual teams and multiple functions through clear communication and collaboration. Track record of achieving results in fast-paced and evolving environments. Experience working in global or multi-country environments, preferably with data and BI implementations. Understanding of key concepts related to master data management, data standards, analytics, and digital transformation. Basic knowledge of data acquisition, data catalogs, and data management tools. Strong interpersonal skills with the ability to influence and persuade stakeholders while fostering lasting partnerships