561 Microstrategy Jobs - Page 11

Minimum 5-7 years of hands-on experience in ETL Testing Excellent in writing SQL Scripts to validate data in ODS and Mart. Should be able to develop and execute test plans, test cases, test scripts. Strong in validation of Visual Analytics reports using tools like Power BI, MicroStrategy, etc. and running different types of test within the same. Identifies, manages, and resolves defects during testing cycles leveraging a test management tool like JIRA, HP ALM. Also, supports or leads UAT process, when appropriate. Should be aware of Quality and Testing related best practices and procedures and adheres to those. Good knowledge in any RDBMS like AWS Redshift Postgres Oracle SQL Server. Nice to have Python. Excellent communication skills both verbal and written. Knowledge of Automation and Automation framework within ETL space. Primary Skills Must have Understanding of data model, ETL architecture. Excellent in Data Warehouse concepts. Show more Show less

Excellent in writing SQL Scripts to validate data in ODS and Mart. Should be able to develop and execute test plans, test cases, test scripts. Strong in validation of Visual Analytics reports using tools like Power BI, MicroStrategy, etc. and running different types of test within the same. Identifies, manages, and resolves defects during testing cycles leveraging a test management tool like JIRA, HP ALM. Also, supports or leads UAT process, when appropriate. Should be aware of Quality and Testing related best practices and procedures and adheres to those. Good knowledge in any RDBMS like AWS Redshift Postgres Oracle SQL Server. Nice to have Python Excellent communication skills both verbal and written. Knowledge of Automation and Automation framework within ETL space. Primary Skills Must have Understanding of data model, ETL architecture. Excellent in Data Warehouse concepts. Show more Show less

Pune, India Full-time in person from Strategy Office 5 days per week Job Description Cloud Support Engineers are responsible for providing technical support for a set of Strategy Products. This person dedicates his/her time to resolving customer issues, contributing to the growth of our Strategy Community, and further growing their Strategy Product Knowledge to provide top-notch service. To succeed in this role this person must be passionate about our technology, thrive in challenging situations, and have a strong desire to help others. Responsibilities Provide support for Strategy s Business Intelligence product suite, Cloud platform, and its underlying technologies Develop strong relationships with Strategy customers and partners through daily, high quality interactions during customer project development and production system maintenance Find creative and sophisticated solutions to complex or higher priority problems reported while using MicroStrategy s product suite through analytical talent and strong troubleshooting abilities Collaborate and communicate effectively with peers, internal application and software development teams Prioritize and communicate product defects and enhancements to development teams Contribute to the growth of the MicroStrategy Community by creating customer-facing documentation of all technical solutions and product documentation addendums Able to support MicroStrategy customers during their working hours between 12:30 pm and 9:30 pm IST Enhance personal and professional growth by participating in Internal Development Programs Work in a strong team environment Qualifications Bachelor s degree, preferably in a technical field (Engineering, Physics, Mathematics, Computer Science) Exposure to Python, REST API, Java, SQL, HTML, or XML/XSL technologies Windows/Linux system administration knowledge Minimum of 2 years of IT customer service experience / strong customer focus Minimum of 1 year of MicroStrategy Platform usage or administration knowledge Able to support MicroStrategy customers during their working hours between 11.30 and 8.30 pm IST Strong analytical and troubleshooting skills and experience Strong Time management skills to prioritize workload, multi-task, meet deadlines, and manage competing priorities under pressure Excellent oral and written English communication skills Preferred: Cloud Certifications (AWS, Azure, Google Cloud) Additional Information The recruitment process includes online assessments as a first step (English, logic, business) - we send them via e-mail, please check also your SPAM folder

Job Location: Pune. Full time 5 days a week from Strategy Pune office. Senior AI Engineer I We are looking for a highly skilled AI Engineer to join our team and contribute to the development of AI-powered solutions. The ideal candidate will have expertise in Python programming, REST API development, cloud infrastructure, and AI model integration. This role requires strong problem-solving skills, a deep understanding of AI technologies, and the ability to optimize and deploy AI applications efficiently. Key Responsibilities: Develop, maintain, and optimize AI-driven applications using Python. Implement object-oriented programming, module creation, and unit testing to ensure code quality and maintainability. Design and build RESTful APIs with FastAPI for seamless integration of AI services. Work with various Large Language Models (LLMs), including OpenAI and Azure OpenAI, to enhance AI-driven functionalities. Interface with relational and vector databases for efficient AI data retrieval and storage. Implement text embedding techniques to improve AI-powered natural language processing tasks. Deploy and manage AI applications on cloud platforms such as AWS, Azure, and GCP. Utilize Docker for containerization, ensuring scalable and efficient deployment. Collaborate with cross-functional teams using Git for version control and code management. Requirements: Bachelor s/Master s degree in Computer Science or equivalent. A minimum of 4 years of hands-on experience in Python software development with a focus on modular, scalable, and efficient coding for AI/LLM-based applications. Experience developing and maintaining RESTful APIs using FastAPI and interfacing with relational databases. Experience in implementing LLMs (OpenAI, Azure) using vector databases, text embedding, and RAG. Hands-on experience with cloud platforms (AWS, Azure, GCP) and docker for AI deployment and scaling. Strong Git skills for version control and collaborative development. Ability to adjust and thrive in a fast-paced environment with changing priorities. Strong analytical and problem-solving skills. Familiarity with data visualization tools such as MicroStrategy preferred.

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. Data n’ Analytics – Data Strategy - Manager, Strategy and Transactions 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 Manager - Data Strategy. The main objective of the role is to develop and articulate a clear and concise data strategy aligned with the overall business strategy. Communicate the data strategy effectively to stakeholders across the organization, ensuring buy-in and alignment. Establish and maintain data governance policies and procedures to ensure data quality, security, and compliance. Oversee data management activities, including data acquisition, integration, transformation, and storage. Develop and implement data quality frameworks and processes.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. Discipline Data Strategy Key Skills Strong understanding of data models (relational, dimensional), data warehousing concepts, and cloud-based data architectures (AWS, Azure, GCP). Proficiency in data analysis techniques (e.g., SQL, Python, R), statistical modeling, and data visualization tools. Familiarity with big data technologies such as Hadoop, Spark, and NoSQL databases. Client Handling and Communication, Problem Solving, Systems thinking, Passion of technology, Adaptability, Agility, Analytical thinking, Collaboration Skills And Attributes For Success 10-12 years of total experience with 8+ years in Data Strategy and Architecture field Solid hands-on 6+ years of professional experience with designing and architecting of data warehouses/ data lakes on client engagements and helping create enhancements to a data warehouse 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 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, modelling 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. 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 We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. 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 Lowe’s Lowe’s is a FORTUNE® 100 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. Lowe’s India, the Global Capability Center of Lowe’s Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe’s India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India About The Team A Merchandising Analyst plays a pivotal role in driving the performance of product assortments by leveraging data to optimize strategies. They are responsible for analyzing key trends across sales, margins, inventory, turnover, and other critical KPIs. By incorporating macroeconomic factors and leveraging forecasted expectations, they develop effective strategies to maximize revenue and margins, optimize inventory levels, and ensure customer needs are met efficiently. The ideal candidate should possess strong technical expertise, enabling them to conduct root cause analyses, A/B testing, hypothesis testing, and regression analysis. Their insights should translate into actionable recommendations that drive business results. Additionally, they are expected to collaborate with cross-functional teams to integrate metrics beyond merchandising and engage stakeholders to understand and address their specific requirements effectively. Job Summary The primary purpose of this role is to perform mathematical and statistical analysis or model building as appropriate. This includes following analytical best practices, analyzing and reporting accurate results, and identifying meaningful insights that directly support decision making. This role provides assistance in supporting one functional area of the business in partnership with other team members. At times, this role may work directly with the business function, but the majority of time is spent working with internal team members to identify and understand business needs. Roles & Responsibilities Core Responsibilities: Conduct in-depth analysis of business trends, financial performance, and market conditions. Develop and maintain data models, dashboards, and reports to support business decisions. Identify opportunities for operational improvements and recommend strategic solutions. Collaborate with cross-functional teams to translate data insights into actionable strategies. Ensure data accuracy, integrity, and security while handling large datasets. Present findings and recommendations to leadership in a clear and concise manner Years Of Experience 1 to 3 yrs of experience data analytics Education Qualification & Certifications (optional) Required Minimum Qualifications Bachelor's degree in business administration, computer science, computer information systems (CIS), engineering, or related field (or equivalent work experience in lieu of degree) Skill Set Required Experience using basic analytical tools such as R, Python, SQL, SAS, Adobe, Alteryx, Knime, Aster Experience using visualization tools such as Power BI, Tableau Secondary Skills (desired) Experience with business intelligence and reporting tools (e.g., MicroStrategy, Business Objects, Cognos, Adobe, TM1, Alteryx, Knime, SSIS, SQL, Svr) and Enterprise level databases (Hadoop, GCP, Azure, Oracle, Teradata, DB2) Experience working with big, unstructured data in a retail environment Experience with analytical tools like Python, Alteryx, Knime, SAS, R, etc. Experience with visualization tools like MicroStrategy VI, Power BI, SAS-VA, Tableau, D3, R-Shiny Programming experience using tools such as R, Python Data Science experience using tools such as ML, Text mining Knowledge of SQL Project management experience Experience in home improvement retail Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law. Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits. Show more Show less

Overview We are seeking a self-driven Senior Tableau Engineer with deep expertise in data modeling, visualization design, and BI-tool migrations. You’ll own end-to-end dashboard development, translate complex healthcare and enterprise data into actionable insights, and lead migrations from legacy BI platforms (e.g., MicroStrategy, BusinessObjects) to Tableau. Job Location - Delhi NCR / Bangalore /Pune Key Responsibilities Data Modeling & Architecture Design and maintain logical and physical data models optimized for Tableau performance Collaborate with data engineers to define star/snowflake schemas, data marts, and semantic layers Ensure data integrity, governance, and lineage across multiple source systems Visualization Development Develop high-impact, interactive Tableau dashboards and visualizations for executive-level stakeholders Apply design best practices: color theory, UX principles, and accessibility standards Optimize workbooks for performance (efficient calculations, extracts, and queries) BI Migration & Modernization Lead migration projects from MicroStrategy, BusinessObjects, or other BI tools to Tableau Reproduce and enhance legacy reports in Tableau, ensuring feature parity and improved UX Validate data accuracy post-migration through sampling, reconciliation, and automated testing Automation & Deployment Automate data extract refreshes, alerting, and workbook publishing via Tableau Server/Online Implement CI/CD processes for Tableau content using Git, Tableau APIs, and automated testing frameworks Establish standardized naming conventions, folder structures, and content lifecycle policies Collaboration & Mentorship Partner with analytics translators, data engineers, and business owners to gather requirements and iterate solutions Mentor junior BI developers on Tableau best practices, performance tuning, and dashboard design Evangelize self-service BI adoption: train users, develop documentation, and host office hours Governance & Quality Define and enforce Tableau governance: security, permissions, version control, and change management Implement data quality checks and monitoring for dashboards (row counts, anomalies, thresholds) Track and report key metrics on dashboard usage, performance, and user satisfaction About Rackspace Technology We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future. More on Rackspace Technology Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know. Show more Show less

Preferred candidate profile 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

Job Overview Sr. Data Engineer II performs development activities within a data engineering team and helps guide, onboard, and train Data Engineer I. You will work closely with product management, engineering, account management, ETL, data warehouse, business intelligence, and reporting teams as you develop data pipelines and enhancements and investigate and troubleshoot issues. You possess an understanding of multiple data structures, including relational and non-relational data models. Roles And Responsibilities Extracting, cleansing, and loading data. Building data pipelines using SQL, Kafka, and other technologies. Investigation and documentation of new data sets Triage incoming bugs and incidents. Perform technical operation tasks. Investigate and troubleshoot issues with data and data pipelines. Participation in sprint refinement, planning, and kick-off to help estimate stories, raise awareness and additional implementation details. Help monitor areas of the data pipeline and raise awareness to the team when issues arise. Performing and implementing new quality assurance rules to maintain consistent and accurate data. Knowledge A solid understanding of data science concepts is required Data analysis expertise Working knowledge of ETL tools Knowledge of BI tools Handling DevOps Task is preferable Experience with Big Data technologies such as Hadoop and Kafka Extensive experience with ML frameworks and libraries including TensorFlow, Spark, PyTorch, and MLPACK Skills (Technical) Experience designing and implementing a full-scale data warehouse solution based on Snowflake. A minimum of three years’ experience in developing production-ready data ingestion and processing pipelines using Java, Spark, Scala, Python. Experience with complex data warehouse solutions on Teradata, Oracle, or DB2 platforms with 2 years of hands-on experience Expertise and excellent proficiency with Snowflake internals and integration of Snowflake with other technologies for data processing and reporting. Experience or Knowledge of Excel and several analytical tools such as Tableau, MicroStrategy, PowerBI would be added advantage Abilities (Competencies) Work Independently. Collaborates with team members. Self-motivated. Typical Experience 4 - 6 years Show more Show less

Overview We are seeking a self-driven Senior Tableau Engineer with deep expertise in data modeling, visualization design, and BI-tool migrations. You’ll own end-to-end dashboard development, translate complex healthcare and enterprise data into actionable insights, and lead migrations from legacy BI platforms (e.g., MicroStrategy, BusinessObjects) to Tableau. Job Location - Delhi NCR / Bangalore /Pune Key Responsibilities Data Modeling & Architecture Design and maintain logical and physical data models optimized for Tableau performance Collaborate with data engineers to define star/snowflake schemas, data marts, and semantic layers Ensure data integrity, governance, and lineage across multiple source systems Visualization Development Develop high-impact, interactive Tableau dashboards and visualizations for executive-level stakeholders Apply design best practices: color theory, UX principles, and accessibility standards Optimize workbooks for performance (efficient calculations, extracts, and queries) BI Migration & Modernization Lead migration projects from MicroStrategy, BusinessObjects, or other BI tools to Tableau Reproduce and enhance legacy reports in Tableau, ensuring feature parity and improved UX Validate data accuracy post-migration through sampling, reconciliation, and automated testing Automation & Deployment Automate data extract refreshes, alerting, and workbook publishing via Tableau Server/Online Implement CI/CD processes for Tableau content using Git, Tableau APIs, and automated testing frameworks Establish standardized naming conventions, folder structures, and content lifecycle policies Collaboration & Mentorship Partner with analytics translators, data engineers, and business owners to gather requirements and iterate solutions Mentor junior BI developers on Tableau best practices, performance tuning, and dashboard design Evangelize self-service BI adoption: train users, develop documentation, and host office hours Governance & Quality Define and enforce Tableau governance: security, permissions, version control, and change management Implement data quality checks and monitoring for dashboards (row counts, anomalies, thresholds) Track and report key metrics on dashboard usage, performance, and user satisfaction About Rackspace Technology We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future. More on Rackspace Technology Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know. Show more Show less

About GSPANN GSPANN is a global IT services and consultancy provider headquartered in Milpitas, California (U.S.A.). With five global delivery centers across the globe, GSPANN provides digital solutions that support the customer buying journeys of B2B and B2C brands worldwide. With a strong focus on innovation and client satisfaction, GSPANN delivers cutting-edge solutions that drive business success and operational excellence. GSPANN helps retail, finance, manufacturing, and high-technology brands deliver competitive customer experiences and increased revenues through our solution delivery, technologies, practices, and operations for each client. For more information, visit www.gspann.com Job Position MicroStrategy Developer Experience - 5+ years Location Hyderabad, Gurgaon, Pune Skills - MicroStrategy, SQL, Datawarehouse, Business Intelligenece JD and required Skills & Responsibilities: 5-8 years of experience in BI MicroStrategy. Strong experience in Data modelling and Business Intelligence tool Strong experience with SQL, Preferably Big Query (GCP) Drive data investigations to deliver a resolution of technical, procedural, and operational issues. Experience in implementing end-to-end Business Intelligence project Should have experience in MicroStrategy Architecture & Public objects Should be able to work on Object Manager, Command Manager etc Admin tools Data Modelling & DWH Utilize Visual Insight & Dossiers to create customized and interactive dashboards to explore the business data. Mobile Dashboards and Mobile apps Professional experience in Agile/Scrum application development using JIRA Perform technical analysis and development / implementation of applications with necessary customization Analyse and suggest improving system productivity, scaling and monitoring Responsible for periodic deployments through recommended tools and methodologies Adhere to coding best practices, Perform self and peer code reviews Provide daily, weekly updates and corresponding status reports to management Exhibit team player ship collaborating with team members and cross scrum teams Thanks & Regards, Heena Ruchwani Senior Team Lead - Recruitment Mobile: +91 8121 080 893 MS Teams: heena.ruchwani@gspann.com

Job Description JOB DESCRIPTION We are seeking a passionate and experienced Senior Manager of Business Intelligence & Data Engineering to lead and develop a high-performing team of engineers. The scope of this role will be broad and multi-tiered, covering all aspects of the Business Intelligence (BI) ecosystem - designing, building, and maintaining robust data pipelines, enabling advanced analytics, and delivering actionable insights through BI and data visualization tools. You will play a critical role in fostering a collaborative and innovative team environment, while driving continuous improvement across all aspects of the engineering process. Also - key to the success of this role will be an assertiveness and willingness to engage directly with stakeholders, developing relationships while acquiring deep understanding of functional domains (business processes, etc.). Key Responsibilities Lead the design and development of scalable, high-performance data architectures on AWS, leveraging services such as S3, EMR, Glue, Redshift, Lambda, and Kinesis. Architect and manage Data Lakes for handling structured, semi-structured, and unstructured data. Manage Snowflake for cloud data warehousing, ensuring seamless data integration, optimization of queries, and advanced analytics. Implement Apache Iceberg in Data Lakes for managing large-scale datasets with ACID compliance, schema evolution, and versioning. Drive Data Modeling and Productization: Design and implement data models (e.g., star/snowflake schemas) to support analytical use cases, productizing datasets for business consumption and downstream analytics. Work with business stakeholders to create actionable insights using enterprise BI platforms (MicroStrategy, Tableau, Power BI, etc.). Build data models and dashboards that drive key business decisions, ensuring that data is easily accessible and interpretable. Ensure that data pipelines, architectures, and systems are thoroughly documented and follow coding and design best practices. Promote knowledge-sharing across the team to maintain high standards for quality and scalability. Call upon breadth of experience spanning many technologies and platforms to help shape architectural direction Assist end-users in optimizing their analytic usage, visualizing data in a more efficient and actionable fashion, beyond data dumps and grid reports Promote ongoing adoption of business intelligence content through an emphasis on user experience, iterative design refinement and regular training Implement Observability and Error Handling: Build frameworks for operational monitoring, error handling, and data quality assurance to ensure high reliability and accountability across the data ecosystem. Stay Ahead of Industry Trends: Keep abreast of the latest techniques, methods, and technologies in data engineering and BI, ensuring the team adopts cutting-edge tools and practices to maintain a competitive edge. Qualifications 10+ years of experience in Data Engineering or a related field, with a proven track record of designing, implementing, and maintaining large-scale distributed data systems 5+ years of work experience in BI/data visualization/analytics 5+ years of people management experience with experience managing global teams Track record of solving business challenges through technical solutions. Be able to articulate the context behind projects and their impact. Knowledge of CI/CD tools and practices, particularly in data engineering environments Proficiency in cloud-based data warehousing, data modeling, and query optimization Experience with AWS services (e.g., Lambda, Redshift, Athena, Glue, S3) and managing cloud infrastructure Strong experience in Data Lake architectures on AWS, using services like S3, Glue, EMR, and data management platforms like Apache Iceberg Familiarity with containerization tools like Docker and Kubernetes for managing cloud-based services Hands-on experience with Apache Spark (Scala & PySpark) for distributed data processing and real-time analytics Expertise in SQL for querying relational and NoSQL databases, and experience with database design and optimization Proficiency in creating interactive dashboards and reports using drag-and-drop interfaces in enterprise BI platforms, with a focus on user-friendly design for both technical and non-technical stakeholders Experience in microservices-based architectures, messaging, APIs, and distributed systems. Familiarity with embedding BI content into applications or websites using APIs (e.g., Power BI Embedded, MicroStrategy’s HyperIntelligence for zero-code embedding, Tableau’s robust APIs) Able to work in a collaborative environment to support rapid development and delivery of results Exhibit an understanding of business problems and translate those into creative, innovative and practical solutions that deliver high quality services to the business Strong communication and presentation skills, with experience delivering insights to both technical and executive audiences Willing to wear many hats and be flexible with a varying nature of tasks and responsibilities BONUS POINTS Understanding of data science and machine learning concepts, with the ability to collaborate with data science teams Knowledge of Infrastructure as Code (IaC) practices, using tools like Terraform to provision and manage cloud infrastructure (e.g., AWS) for data pipelines and BI systems Familiarity with data governance, security, and compliance practices in cloud environments Domain understanding of Apparel, Retail, Manufacturing, Supply Chain or Logistics About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. About The Team Fanatics Commerce is a leading designer, manufacturer, and seller of licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods. It operates a vertically-integrated platform of digital and physical capabilities for leading sports leagues, teams, colleges, and associations globally – as well as its flagship site, www.fanatics.com. Fanatics Commerce has a broad range of online, sports venue, and vertical apparel partnerships worldwide, including comprehensive partnerships with leading leagues, teams, colleges, and sports organizations across the world—including the NFL, NBA, MLB, NHL, MLS, Formula 1, and Australian Football League (AFL); the Dallas Cowboys, Golden State Warriors, Paris Saint-Germain, Manchester United, Chelsea FC, and Tokyo Giants; the University of Notre Dame, University of Alabama, and University of Texas; the International Olympic Committee (IOC), England Rugby, and the Union of European Football Associations (UEFA). At Fanatics Commerce, we infuse our BOLD Leadership Principles in everything we do: Build Championship Teams Obsessed with Fans Limitless Entrepreneurial Spirit Determined and Relentless Mindset Show more Show less

Design and deliver scalable, data-driven solutions and dashboards that empower self-service analytics and enable business decision-making across the organization. Key Responsibilities: Design, develop, and implement data-driven solutions that promote data democratization . Translate business needs into actionable user stories and semantic models . Develop scalable BI assets using tools like Power BI , MicroStrategy , Oracle Analytics Cloud , or similar. Collaborate with stakeholders across departments to understand their data needs and translate them into impactful dashboard elements . Build effective and intuitive dashboards and reports for actionable insights. Implement and maintain best practices in data governance , quality , and security . Document data models , pipelines, and dashboard logic clearly to enable self-service analytics . Promote a culture of data enablement through user training, process mapping, and UX optimization. Collaborate with data engineers, analysts, and product owners to ensure project success. Stay updated on emerging analytics trends and proactively introduce innovative BI solutions. Qualifications: 3+ years of experience in an Analytics Engineer or related data-focused role. Strong understanding of semantic modeling and data modeling principles. Proficient in SQL and familiar with data warehousing platforms like Snowflake . Hands-on experience building reports with Power BI , MicroStrategy , Oracle Analytics Cloud , etc. Strong ability to explain complex data concepts to both technical and non-technical stakeholders . A collaborative problem-solver with a user-first mindset. High attention to detail and strong commitment to data accuracy and quality . Passionate about using data to drive business outcomes . Top Tools & Skills: SQL, Snowflake, Power BI, MicroStrategy, Oracle Analytics Cloud Semantic modeling, Data Governance, Dashboard Development Data Storytelling, Stakeholder Collaboration, Documentation & Enablement

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Senior Analyst – Data Engineering Data and 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 are looking for Senior Analyst - Data Engineering. The main purpose 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 onshore 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. Discipline : Information Management & Analysis Role Type : Data Architecture & Engineering A Data Architect & Engineer at EY: Uses agreed-upon methods, processes and technologies to design, build and operate scalable on-premises or cloud data architecture and modelling solutions that facilitate data storage, integration, management, validation and security, supporting the entire data asset lifecycle. Designs, builds and operates data integration solutions that optimize data flows by consolidating disparate data from multiple sources into a single solution. Works with other Information Management & Analysis professionals, the program team, management and stakeholders to design and build analytics solutions in a way that will deliver business value. Skills Cloud Computing, Business Requirements Definition, Analysis and Mapping, Data Modelling, Data Fabric, Data Integration, Data Quality, Database Management, Semantic Layer Effective Client Communication, Problem solving / critical thinking, Interest and passion for Technology, Analytical Thinking, Collaboration 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 steered tools to create workflows) Experience in design documentation (data mapping, technical specifications, production support, data dictionaries, test cases, etc.) Provides technical guidance 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 Minimum of 4 years of total experience with Data warehousing/ Business Intelligence field Solid hands-on 3+ 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) Minimum 3+ years experience in Azure database offerings [Relational, NoSQL, Datawarehouse] 2+ 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 3 years of hands-on database design, modelling 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. 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 life cycle (SDLC) and rules of product development, such as installation, upgrade and namespace management Solid thoughtfulness, technical and problem solving skills Excellent written and verbal communication skills To qualify for the role, you must have Bachelor’s or equivalent degree in computer science, or related field, required. Advanced degree or equivalent business experience preferred Fact steered and thoughtfulness with excellent attention to details Hands-on experience with data engineering tasks such as building analytical data records and experience manipulating and analyzing large volumes of data Relevant work experience of minimum 4 to 6 years in a big 4 or technology/ consulting set up 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 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-prominent, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY SaT practices globally with prominent businesses across a range of industries What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success, as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. 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Position: Data Engineer - Azure Synapse Purpose of the Position : As an Azure Synapse Developer you will be responsible for designing, implementing, and managing scalable data pipelines. InfoCepts is a global leader of end-to-end data and analytics solutions with nearly 20 years experience enabling customers to derive value from a variety of data-driven capabilities. Unique among its peers, InfoCepts operates with the scale of a global consulting firm, yet the expertise of a niche partner. At InfoCepts, you ll be challenged to think innovatively, while growing your own personal and professional skills designed with the future in mind. We have more than 1200 global professionals working on cutting edge technology solutions with a single mission - transforming our customers journey with data-driven modernization. InfoCepts has been recognized as Gartner Peer Insights Customers Choice for two consecutive years in 2020 and 2021 which recognizes our best-in-class services that help our customers approach any data analytics problem. We are certified by Great Place to Work , India in 2021 and recognizes our high-trust and highperformance work culture, and great employee experience in the industry. Our award-winning reusable solutions approach is well recognized in the D&A industry and lets our Data Engineer -Azure Synapse Version 1.0 Client Logo Your title will go here, Use H1 as a header title from styles 23-01-2023 Proposal Ref No. I Version 1.0 Classification: Private Page 2 of 3 associates leverage our collective and proven consultative expertise, accelerate solution delivery through automation, enable faster time to value with reusable toolkits - all while delivering exceptional customer experience. Our success has been unique, and we are looking for professionals who are enthusiastic and passionate about data & analytics, delivering differentiated experiences, and solving real world problems for our global customers. This position works with the competency and delivery team to execute on the assigned responsibilities. Location: Bangalore/Pune/Nagpur/ Chennai Type of Employment: Full Time Regular Key Result Areas and Activities: Design, develop and deploy ETL/ELT solutions on premise or in the cloud Transformation of data with stored procedures. Report Development (MicroStrategy/Power BI) Create and maintain comprehensive documentation for data pipelines, configurations, and processes Ensure data quality and integrity through effective data management practices Monitor and optimize data pipeline performance Troubleshoot and resolve data-related issues Technical Experience: Must Have Good experience in Azure Synapse Good experience in ADF Good experience in Snowflake & Stored Procedures Experience with ETL/ELT processes, data warehousing, and data modelling Experience with data quality frameworks, monitoring tools, and job scheduling Knowledge of data formats like JSON, XML, CSV, and Parquet English Fluent (Strong written, verbal, and presentation skills) Agile methodology & tools like JIRA Good communication and formal skills Good To Have Good experience in MicroStrategy and PowerBI Experience in scripting languages such as Python, Java, or Shell scripting Familiarity with Azure cloud platforms and cloud data services and 4+ years of experience in Azure Synapse. Qualities: Experience with or knowledge of Agile Software Development methodologies Can influence and implement change; demonstrates confidence, strength of conviction and sound decisions. Believes in head-on dealing with a problem; approaches in logical and systematic manner; is persistent and patient; can independently tackle the problem, is not over-critical of the factors that led to a problem and is practical about it; follow up with developers on related issues. Able to consult, write, and present persuasively.

FranConnect is seeking a Senior MicroStrategy Developer to join our team in Noida. This role involves designing, developing, and maintaining reports and dashboards using the MicroStrategy BI toolset. The ideal candidate will have strong experience in data analysis, BI solution design, and the ability to translate business requirements into effective technical solutions. Excellent communication skills are essential to collaborate across teams and explain technical concepts to non-technical stakeholders. Location: Noida, India | Work Mode: Hybrid (2-3 days in office) Key Responsibilities: Design and develop reports and dashboards to enhance FranConnect applications Analyze the impact of schema and data model changes, and conduct related research Provide design recommendations leveraging deep MicroStrategy expertise Meet project timelines and deliverables as per defined schedules Monitor and improve system performance; optimize queries and reports for efficiency Recommend improvements or replacements for existing reporting solutions Support and train team members through knowledge sharing and one-on-one guidance Respond promptly to support issues and ensure resolution in a timely manner Requirements: Proficiency in SQL Experience working within Agile development environments Strong organizational, analytical, and problem-solving skills Effective written and verbal communication abilities Ability to work independently and make sound decisions in a dynamic setting Strong interpersonal skills with a professional demeanor and active listening

Company Description Strategy (Nasdaq: MSTR) is at the forefront of transforming organizations into intelligent enterprises through data-driven innovation. We don't just follow trends—we set them and drive change. As a market leader in enterprise analytics and mobility software, we've pioneered BI and analytics space, empowering people to make better decisions and revolutionizing how businesses operate. But that's not all. Strategy is also leading to a groundbreaking shift in how companies approach their treasury reserve strategy, boldly adopting Bitcoin as a key asset. This visionary move is reshaping the financial landscape and solidifying our position as a forward-thinking, innovative force in the market. Four years after adopting the Bitcoin Standard, Strategy's stock has outperformed every company in S&P 500. Our people are the core of our success. At Strategy, you'll join a team of smart, creative minds working on dynamic projects with cutting-edge technologies. We thrive on curiosity, innovation, and a relentless pursuit of excellence. Our corporate values—bold, agile, engaged, impactful, and united—are the foundation of our culture. As we lead the charge into the new era of AI and financial innovation, we foster an environment where every employee's contributions are recognized and valued. Join us and be part of an organization that lives and breathes innovation every day. At Strategy, you're not just another employee; you're a crucial part of a mission to push the boundaries of analytics and redefine financial investment. Job Description Pune, India Full-time in person from Strategy Office 5 days per week Job Description Cloud Support Engineers are responsible for providing technical support for a set of Strategy Products. This person dedicates his/her time to resolving customer issues, contributing to the growth of our Strategy Community, and further growing their Strategy Product Knowledge to provide top-notch service. To succeed in this role this person must be passionate about our technology, thrive in challenging situations, and have a strong desire to help others. Responsibilities Provide support for Strategy’s Business Intelligence product suite, Cloud platform, and its underlying technologies Develop strong relationships with Strategy customers and partners through daily, high quality interactions during customer project development and production system maintenance Find creative and sophisticated solutions to complex or higher priority problems reported while using MicroStrategy’s product suite through analytical talent and strong troubleshooting abilities Collaborate and communicate effectively with peers, internal application and software development teams Prioritize and communicate product defects and enhancements to development teams Contribute to the growth of the MicroStrategy Community by creating customer-facing documentation of all technical solutions and product documentation addendums Able to support MicroStrategy customers during their working hours between 12:30 pm and 9:30 pm IST Enhance personal and professional growth by participating in Internal Development Programs Work in a strong team environment Qualifications Bachelor’s degree, preferably in a technical field (Engineering, Physics, Mathematics, Computer Science) Exposure to Python, REST API, Java, SQL, HTML, or XML/XSL technologies Windows/Linux system administration knowledge Minimum of 2 years of IT customer service experience / strong customer focus Minimum of 1 year of MicroStrategy Platform usage or administration knowledge Able to support MicroStrategy customers during their working hours between 11.30 and 8.30 pm IST Strong analytical and troubleshooting skills and experience Strong Time management skills to prioritize workload, multi-task, meet deadlines, and manage competing priorities under pressure Excellent oral and written English communication skills Preferred: Cloud Certifications (AWS, Azure, Google Cloud) Additional Information The recruitment process includes online assessments as a first step (English, logic, business) - we send them via e-mail, please check also your SPAM folder Show more Show less

Company Description Strategy (Nasdaq: MSTR) is at the forefront of transforming organizations into intelligent enterprises through data-driven innovation. We don't just follow trends—we set them and drive change. As a market leader in enterprise analytics and mobility software, we've pioneered BI and analytics space, empowering people to make better decisions and revolutionizing how businesses operate. But that's not all. Strategy is also leading to a groundbreaking shift in how companies approach their treasury reserve strategy, boldly adopting Bitcoin as a key asset. This visionary move is reshaping the financial landscape and solidifying our position as a forward-thinking, innovative force in the market. Four years after adopting the Bitcoin Standard, Strategy's stock has outperformed every company in S&P 500. Our people are the core of our success. At Strategy, you'll join a team of smart, creative minds working on dynamic projects with cutting-edge technologies. We thrive on curiosity, innovation, and a relentless pursuit of excellence. Our corporate values—bold, agile, engaged, impactful, and united—are the foundation of our culture. As we lead the charge into the new era of AI and financial innovation, we foster an environment where every employee's contributions are recognized and valued. Join us and be part of an organization that lives and breathes innovation every day. At Strategy, you're not just another employee; you're a crucial part of a mission to push the boundaries of analytics and redefine financial investment. Job Description Job Location: Pune. Full time 5 days a week from Strategy Pune office. Senior AI Engineer I We are looking for a highly skilled AI Engineer to join our team and contribute to the development of AI-powered solutions. The ideal candidate will have expertise in Python programming, REST API development, cloud infrastructure, and AI model integration. This role requires strong problem-solving skills, a deep understanding of AI technologies, and the ability to optimize and deploy AI applications efficiently. Key Responsibilities Develop, maintain, and optimize AI-driven applications using Python. Implement object-oriented programming, module creation, and unit testing to ensure code quality and maintainability. Design and build RESTful APIs with FastAPI for seamless integration of AI services. Work with various Large Language Models (LLMs), including OpenAI and Azure OpenAI, to enhance AI-driven functionalities. Interface with relational and vector databases for efficient AI data retrieval and storage. Implement text embedding techniques to improve AI-powered natural language processing tasks. Deploy and manage AI applications on cloud platforms such as AWS, Azure, and GCP. Utilize Docker for containerization, ensuring scalable and efficient deployment. Collaborate with cross-functional teams using Git for version control and code management. Requirements Bachelor’s/Master’s degree in Computer Science or equivalent. A minimum of 4 years of hands-on experience in Python software development with a focus on modular, scalable, and efficient coding for AI/LLM-based applications. Experience developing and maintaining RESTful APIs using FastAPI and interfacing with relational databases. Experience in implementing LLMs (OpenAI, Azure) using vector databases, text embedding, and RAG. Hands-on experience with cloud platforms (AWS, Azure, GCP) and docker for AI deployment and scaling. Strong Git skills for version control and collaborative development. Ability to adjust and thrive in a fast-paced environment with changing priorities. Strong analytical and problem-solving skills. Familiarity with data visualization tools such as MicroStrategy preferred. Additional Information The recruitment process includes online assessments as a first step. We send them via e-mail, please check also your SPAM folder. Show more Show less

Associate Manager, D&AI BIOps (Business Intelligence Operations) GF & International Sectors 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

BOLD is seeking for QA professional who will work directly with the BI Development team to validate Business Intelligence solutions. He will build test strategy and test plans and test cases for ETL and Business Intelligence components. He will also validate SQL queries related to test cases and produce test summary reports. Job Description ABOUT THIS TEAM BOLD Business Intelligence(BI) team is a centralized team responsible for managing all aspects of the organization's BI strategy, projects and systems. BI team enables business leaders to make data-driven decisions by providing reports and analysis. The team is responsible for developing and manage a latency-free credible enterprise data warehouse which is a data source for decision making and input to various functions of the organization like Product, Finance, Marketing, Customer Support etc. BI team has four sub-components as Data analysis, ETL, Data Visualization and QA. It manages deliveries through Snowflake, Sisense and Microstrategy as main infrastructure solutions. Other technologies including Python, R, Airflow are also used in ETL, QA and data visualizations. WHAT YOU’LL DO Work with Business Analysts, BI Developers to translate Business requirements into Test Cases Responsible for validating the data sources, extraction of data, applying transformation logic, and loading the data in the target tables. Designing, documenting and executing test plans, test harness, test scenarios/scripts & test cases for manual, automated & bug tracking tools. WHAT YOU’LL NEED Experience in Data Warehousing / BI Testing, using any ETL and Reporting Tool Extensive experience in writing and troubleshooting SQL Queries using any of the Databases – Snowflake/ Redshift / SQL Server / Oracle Exposure to Data Warehousing and Dimensional Modelling Concepts Experience in understanding of ETL Source to Target Mapping Document Experience in testing the code on any of the ETL Tools Experience in Validating the Dashboards / Reports on any of the Reporting tools – Sisense / Tableau / SAP Business Objects / MicroStrategy Hands-on experience and strong understanding of Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC). Good experience of Quality Assurance methodologies like Waterfall, V-Model, Agile, Scrum. Well versed with writing detailed test cases for functional & non-functional requirements. Experience on different types of testing that includes Black Box testing, Smoke testing, Functional testing, System Integration testing, End-to-End Testing, Regression testing & User Acceptance testing (UAT) & Involved in Load Testing, Performance Testing & Stress Testing. Expertise in using TFS / JIRA / Excel for writing the Test Cases and tracking the Exposure in scripting languages like Python to create automated Test Scripts or Automated tools like Query Surge will be an added advantage An effective communicator with strong analytical abilities combined with skills to plan, implement & presentation of projects EXPERIENCE- Senior QA Engineer, BI: 4.5 years+ BENEFITS Outstanding Compensation Competitive salary Tax-friendly compensation structure Bi-annual bonus Annual Appraisal Equity in company 100% Full Health Benefits Group Mediclaim, personal accident, & term life insurance Group Mediclaim benefit (including parents' coverage) Practo Plus health membership for employees and family Personal accident and term life insurance coverage Flexible Time Away 24 days paid leaves Declared fixed holidays Paternity and maternity leave Compassionate and marriage leave Covid leave (up to 7 days) ADDITIONAL BENEFITS Internet and home office reimbursement In-office catered lunch, meals, and snacks Certification policy Cab pick-up and drop-off facility About BOLD We Transform Work Lives As an established global organization, BOLD helps people find jobs. Our story is one of growth, success, and professional fulfillment. We create digital products that have empowered millions of people in 180 countries to build stronger resumes, cover letters, and CVs. The result of our work helps people interview confidently, finding the right job in less time. Our employees are experts, learners, contributors, and creatives. We Celebrate And Promote Diversity And Inclusion We value our position as an Equal Opportunity Employer. We hire based on qualifications, merit, and our business needs. We don't discriminate regarding race, color, religion, gender, pregnancy, national origin or citizenship, ancestry, age, physical or mental disability, veteran status, sexual orientation, gender identity or expression, marital status, genetic information, or any other applicable characteristic protected by law. Show more Show less

- 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 Transportation team is looking for an innovative, hands-on and customer-obsessed Business Analyst for Analytics team. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once. Ideal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done. This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams. Key job responsibilities 1) Apply multi-domain/process expertise in day to day activities and own end to end roadmap. 2) Translate complex or ambiguous business problem statements into analysis requirements and maintain high bar throughout the execution. 3) Define analytical approach; review and vet analytical approach with stakeholders. 4) Proactively and independently work with stakeholders to construct use cases and associated standardized outputs 5) Scale data processes and reports; write queries that clients can update themselves; lead work with data engineering for full-scale automation 6) Have a working knowledge of the data available or needed by the wider business for more complex or comparative analysis 7) Work with a variety of data sources and Pull data using efficient query development that requires less post processing (e.g., Window functions, virt usage) 8) When needed, pull data from multiple similar sources to triangulate on data fidelity 9) Actively manage the timeline and deliverables of projects, focusing on interactions in the team 10) Provide program communications to stakeholders 11) Communicate roadblocks to stakeholders and propose solutions 12) Represent team on medium-size analytical projects in own organization and effectively communicate across teams A day in the life 1) Solve ambiguous analyses with less well-defined inputs and outputs; drive to the heart of the problem and identify root causes 2) Have the capability to handle large data sets in analysis through the use of additional tools 3) Derive recommendations from analysis that significantly impact a department, create new processes, or change existing processes 4) Understand the basics of test and control comparison; may provide insights through basic statistical measures such as hypothesis testing 5) Identify and implement optimal communication mechanisms based on the data set and the stakeholders involved 6) Communicate complex analytical insights and business implications effectively About the team AOP (Analytics Operations and Programs) team is missioned to standardize BI and analytics capabilities, and reduce repeat analytics/reporting/BI workload for operations across IN, AU, BR, MX, SG, AE, EG, SA marketplace. AOP is responsible to provide visibility on operations performance and implement programs to improve network efficiency and defect reduction. The team has a diverse mix of strong engineers, Analysts and Scientists who champion customer obsession. We enable operations to make data-driven decisions through developing near real-time dashboards, self-serve dive-deep capabilities and building advanced analytics capabilities. We identify and implement data-driven metric improvement programs in collaboration (co-owning) with Operations teams. 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.

Role: Tech Lead – ETL Location: Offshore/India Who are we looking for? We are looking for 10+ Years of Tech Lead – ETL; multi skilled in different technology mentioned below. Tech Stack: Data Integration Talend, EMR, Airflow DataStage Hue Apache TomCat Python Visualization and Reporting Cognos PowerBI Tableau QlikView MicroStrategy Sigma Monitoring/Scheduler Tools App Dynamics Data Power Operational Dashboard (DPOD) Microsoft System Center Orchestrator (IR Batch Scheduler) AutoSys AWS CloudWatch Technical Skills: Strong knowledge with working experience in one from each category mentioned above. Key Responsibilities: Should have knowledge in extracting data from heterogeneous sources such as databases, CRM, flat files, etc. Create and design the ETL processes and Pipelines Ensure Data quality, modeling and tuning Strong troubleshooting and Problem Solving skills to identify the issues quickly; provide innovative tools for that. Collaboration: Working with developers, other administrators, and stakeholders to ensure smooth operations and integration. Continuous Improvement: Staying up to date with the latest industry trends and technologies to drive continuous improvement and innovation. DevOps and Agile Practices: Aligning middleware operations with DevOps and Agile principles and contributing to automation of middleware-related tasks. Qualification: · Education qualification: Any Graduate Show more Show less

You Lead the Way. We’ve Got Your Back. With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. As part of our diverse tech team, you can architect, code and ship software that makes us an essential part of our customers’ digital lives. Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems. Amex offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source. And because we understand the importance of keeping your skills fresh and relevant, we give you dedicated time to invest in your professional development. Find your place in technology on #TeamAmex. How will you make an impact in this role? Build NextGen Data Strategy, Data Virtualization, Data Lakes Warehousing Transform and improve performance of existing reporting & analytics use cases with more efficient and state of the art data engineering solutions. Analytics Development to realize advanced analytics vision and strategy in a scalable, iterative manner. Deliver software that provides superior user experiences, linking customer needs and business drivers together through innovative product engineering. Cultivate an environment of Engineering excellence and continuous improvement, leading changes that drive efficiencies into existing Engineering and delivery processes. Own accountability for all quality aspects and metrics of product portfolio, including system performance, platform availability, operational efficiency, risk management, information security, data management and cost effectiveness. Work with key stakeholders to drive Software solutions that align to strategic roadmaps, prioritized initiatives and strategic Technology directions. Work with peers, staff engineers and staff architects to assimilate new technology and delivery methods into scalable software solutions. Minimum Qualifications: Bachelor’s degree in computer science, Computer Science Engineering, or related field required; Advanced Degree preferred. 5+ years of hands-on experience in implementing large data-warehousing projects, strong knowledge of latest NextGen BI & Data Strategy & BI Tools Proven experience in Business Intelligence, Reporting on large datasets, Data Virtualization Tools, Big Data, GCP, JAVA, Microservices Strong systems integration architecture skills and a high degree of technical expertise, ranging across a number of technologies with a proven track record of turning new technologies into business solutions. Should be good in one programming language python/Java. Should have good understanding of data structures. GCP /cloud knowledge has added advantage. PowerBI, Tableau and looker good knowledge and understanding. Outstanding influential and collaboration skills; ability to drive consensus and tangible outcomes, demonstrated by breaking down silos and fostering cross communication process. Experience managing in a fast paced, complex, and dynamic global environment. Outstanding influential and collaboration skills; ability to drive consensus and tangible outcomes, demonstrated by breaking down silos and fostering cross communication process. Preferred Qualifications: Bachelor’s degree in computer science, Computer Science Engineering, or related field required; Advanced Degree preferred. 5+ years of hands-on experience in implementing large data-warehousing projects, strong knowledge of latest NextGen BI & Data Strategy & BI Tools Proven experience in Business Intelligence, Reporting on large datasets, Oracle Business Intelligence (OBIEE), Tableau, MicroStrategy, Data Virtualization Tools, Oracle PL/SQL, Informatica, Other ETL Tools like Talend, Java Should be good in one programming language python/Java. Should be good data structures and reasoning. GCP knowledge has added advantage or cloud knowledge. PowerBI, Tableau and looker good knowledge and understanding. Strong systems integration architecture skills and a high degree of technical expertise, ranging across several technologies with a proven track record of turning new technologies into business solutions. Outstanding influential and collaboration skills; ability to drive consensus and tangible outcomes, demonstrated by breaking down silos and fostering cross communication process. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations. Show more Show less

Description Amazon Transportation team is looking for an innovative, hands-on and customer-obsessed Business Analyst for Analytics team. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once. Ideal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done. This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams. Key job responsibilities Apply multi-domain/process expertise in day to day activities and own end to end roadmap. Translate complex or ambiguous business problem statements into analysis requirements and maintain high bar throughout the execution. Define analytical approach; review and vet analytical approach with stakeholders. Proactively and independently work with stakeholders to construct use cases and associated standardized outputs Scale data processes and reports; write queries that clients can update themselves; lead work with data engineering for full-scale automation Have a working knowledge of the data available or needed by the wider business for more complex or comparative analysis Work with a variety of data sources and Pull data using efficient query development that requires less post processing (e.g., Window functions, virt usage) When needed, pull data from multiple similar sources to triangulate on data fidelity Actively manage the timeline and deliverables of projects, focusing on interactions in the team Provide program communications to stakeholders Communicate roadblocks to stakeholders and propose solutions Represent team on medium-size analytical projects in own organization and effectively communicate across teams A day in the life Solve ambiguous analyses with less well-defined inputs and outputs; drive to the heart of the problem and identify root causes Have the capability to handle large data sets in analysis through the use of additional tools Derive recommendations from analysis that significantly impact a department, create new processes, or change existing processes Understand the basics of test and control comparison; may provide insights through basic statistical measures such as hypothesis testing Identify and implement optimal communication mechanisms based on the data set and the stakeholders involved Communicate complex analytical insights and business implications effectively About The Team AOP (Analytics Operations and Programs) team is missioned to standardize BI and analytics capabilities, and reduce repeat analytics/reporting/BI workload for operations across IN, AU, BR, MX, SG, AE, EG, SA marketplace. AOP is responsible to provide visibility on operations performance and implement programs to improve network efficiency and defect reduction. The team has a diverse mix of strong engineers, Analysts and Scientists who champion customer obsession. We enable operations to make data-driven decisions through developing near real-time dashboards, self-serve dive-deep capabilities and building advanced analytics capabilities. We identify and implement data-driven metric improvement programs in collaboration (co-owning) with Operations teams. 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) 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 - ASSPL - Karnataka Job ID: A3009286 Show more Show less

Objectives of this Role Work with data to solve business problems, building and maintaining the infrastructure to answer questions and improve processes Help streamline our data science workflows, adding value to our product offering and building out our customer lifecycle and retention models Work closely with the data science and business intelligence teams to develop data models and pipelines for research, reporting, and machine learning Be an advocate for best practices and continued learning What You’ll Do Develop BI dashboards and data visualizations to drive business decisions Work with cross-functional teams to analyze user behavior and product performance Build and optimize data models and reporting system sTranslate data into actionable insights that support growth, retention, and customer experienc e What We’re Looking Fo r 2+ years of experience in BI, SQL, data modeling, ETL, and reporting tools (MicroStrategy preferred) Strong analytical mindset and business acumen Ability to present complex data in a clear, concise manner to non-technical teams Experience in any B2C domain lik e Gaming, Fintech, EdTech, or E-commer ce is a strong pl us Preferred Qualificati ons Experience creating and managing reports on BI tools Hands-on experience with SQL database design Show more Show less