1272 Qlikview Jobs - Page 7

- Bachelor's degree - Experience owning/driving roadmap strategy and definition - Experience with feature delivery and tradeoffs of a product - Experience contributing to engineering discussions around technology decisions and strategy related to a product - Experience managing technical products or online services - Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning Amazon Ads is one of the fastest-growing businesses within Amazon and has become a major driver of profitability worldwide. We strive to help shoppers in their buying journey by showing them relevant ads that empower them to make informed buying decisions. We help our advertisers (i.e., suppliers on Amazon) promote their products, tell their brand story, highlight their USPs, and acquire new customers. We are looking for a Sr. Product Manager - Tech to lead the product portfolio impacting advertiser experiences and compliance for overall India advertising. The person will be expected to improve advertiser experience, enable business growth by providing multiple payment methods, and implement automated controllership in financial processes. Additionally, the person will also lead the full-funnel campaign creation and optimization product. Full-funnel advertising on Amazon aims to target customers across all journey stages (from awareness to loyalty) to help advertisers execute comprehensive strategies beyond lower-funnel activities. The product will have touchpoints across media planning, campaign creation, optimization during delivery, and performance reporting. The person is expected to work with various worldwide teams and will be responsible for launching India-first products globally, thereby creating larger impact on the overall Amazon growth flywheel. You will join a fast-paced team and work with cross-functional teams to design, build, and roll out products. Your role will be to work with internal and external stakeholders to devise a product strategy. You will have a dedicated engineering team that will help you build and implement your product roadmap. You will also be responsible for driving adoption of your product, setting up metrics and KPIs to measure success, and working with advertisers and program teams to identify product enhancements. Key job responsibilities -Identify India specific growth opportunities for the advertisement business, develop strategies to address them and drive initiatives that capitalize on these opportunities to further grow the business. -Create high quality, simple product roadmaps with both a near term (2-3 quarters) and long term view. -Develop detailed, crisp business requirements and user stories that can be used to create product specifications and architecture for each product and application. -Prioritize projects basis the right tradeoffs between shopper experience, advertiser experience and ad revenue. -Dive deep into data to identify opportunities to expand ad supply, coverage and ad monetization. -Work with sellers, brands, media agencies, global product development teams and software development teams to identify and prioritize requirements for product roadmap. -Manage all projects, including organizing and planning, estimating, managing resources, tracking projects, managing risk & opportunity, managing quality. -Solve advertiser and shopper pain points through product enhancements. Experience in using analytical tools, such as Tableau, Qlikview, QuickSight Experience in building and driving adoption of new tools 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.

As a partner at Northern Trust, you will have the opportunity to be part of a globally recognized and award-winning financial institution that has been providing innovative financial services since 1889. With a commitment to service, expertise, and integrity, we cater to some of the world's most successful individuals, families, and institutions. Your responsibilities will include developing a deep understanding of Audit Services Charter, Policy, and Methodology, in addition to collaborating with Data Analytics (DA) team members to translate business requirements into effective digital solutions. Working closely with audit and DA teams, you will deliver customized analytics to support global internal audits and promote the use of data analytics in audit engagements within the region. Your role will also involve communicating analytics results and insights to non-technical end users, as well as developing sophisticated business intelligence tools to extract insights from various data sources. You will support the implementation of complete Big Data solutions and ensure data accuracy throughout the coding process. Additionally, you will be expected to identify opportunities to enhance coverage and assurance in the Internal Audit process through innovation. To excel in this role, you should possess a degree in Accounting, Finance, Economics, Computer Science, or equivalent work experience. A background in working with data analytics solutions such as SQL, Tableau, Power BI, QlikView, Alteryx, ACL, or similar tools is required, along with 3-5 years of prior experience in this field. While prior Internal Audit experience is preferred, it is not mandatory. We value individuals who can think innovatively and solve complex business problems, as well as effectively communicate data insights to technical and non-technical audiences. The ability to manage multiple priorities in a deadline-driven environment and work flexibly in a hybrid setting (3 days office, 2 days remote) is essential for success in this role. At Northern Trust, we encourage career growth and offer a collaborative work culture where senior leaders are accessible, and employees are empowered to make a difference in the communities we serve. If you are passionate about making a positive impact and seeking a role with a purpose-driven organization, we invite you to apply and explore how your skills and interests align with our mission. Let's work together towards achieving greater success and making a difference in the world.,

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. As part of our Analytics and Insights Consumption team, you’ll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights. Years of Experience: Candidates with 4+ years of hands on experience Required Skills Familiarity with the Conversational AI domain, conversational design & implementation, customer experience metrics, and industry-specific challenges Understanding of conversational (chats, emails and calls) data and its preprocessing (including feature engineering if required) to train Conversational AI systems. Strong problem-solving and analytical skills to troubleshoot and optimize conversational AI systems. Familiarity with NLP/NLG techniques such as parts of speech tagging, lemmatization, canonicalization, Word2vec, sentiment analysis, topic modeling, and text classification. NLP and NLU Verticals Expertise: Text to Speech (TTS), Speech to Text (STT), SSML modeling, Intent Analytics, Proactive Outreach Orchestration, OmniChannel AI & IVR (incl. Testing), Intelligent Agent Assist, Contact Center as a Service (CCaaS), Modern Data for Conversational AI and Generative AI. Experience building chatbots using bot frameworks like RASA/ LUIS/ DialogFlow/Lex etc. and building NLU model pipeline using feature extraction, entity extraction, intent classification etc. Understanding and experience on cloud platforms (e.g., AWS, Azure, Google Cloud, Omilia Cloud Platform, Kore.ai, OneReach.ai, NICE, Salesforce, etc.) and their services for building Conversational AI solutions for clients Expertise in Python or PySpark. R and JavaScript framework. Expertise in visualization tools such as Power BI, Tableau, Qlikview, Spotfire etc. Experience with evaluating and improving conversational AI system performance through metrics and user feedback Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders. Proven track record of successfully delivering conversational AI projects on time Familiarity with Agile development methodologies and version control systems. Ability to stay updated with the latest advancements and trends in conversational AI technologies. Strong strategic thinking and ability to align conversational AI initiatives with business goals. Knowledge of regulatory and compliance requirements related to conversational AI applications Experience in the telecom industry or a similar field Familiarity with customer service operations and CRM systems Nice To Have Familiarity with data wrangling tools such as Alteryx, Excel and Relational storage (SQL) ML modeling skills: Experience in various statistical techniques such as Regression, Time Series Forecasting, Classification, XGB, Clustering, Neural Networks, Simulation Modelling, Etc. Experience in survey analytics, organizational functions such as pricing, sales, marketing, operations, customer insights, etc. Understanding of NoSQL databases (e.g., MongoDB, Cassandra) for handling unstructured and semi-structured data. Good Communication and presentation skills

As a Sales Excellence - COE - Advanced Modeling Specialist at Accenture, you will be part of the team that empowers individuals to compete, win, and grow by providing the necessary tools to enhance client portfolios, optimize deals, and nurture sales talent through sales intelligence. In this role, you will utilize your expertise in machine learning algorithms, SQL, R or Python, Advanced Excel, and data visualization tools like Power Bi, Power Apps, Tableau, QlikView, and Google Data Studio. Additionally, knowledge of Google Cloud Platform (GCP) and BigQuery, experience in Sales, Marketing, Pricing, Finance or related fields, familiarity with Salesforce Einstein Analytics, and understanding of optimization techniques and packages such as Pyomo, SciPy, PuLP, Gurobi, CPLEX or similar would be advantageous. Your responsibilities will include generating business insights to enhance processes, increase sales, and maximize profitability for Accenture. You will develop models and scorecards to aid business leaders in comprehending trends and market drivers, collaborating with operations teams to transform insights into user-friendly solutions, and managing tool access and monitoring usage. To excel in this role, you should have a Bachelor's degree or equivalent experience, exceptional English communication skills, a minimum of four years of experience in data modeling and analysis, proficiency in machine learning algorithms, SQL, R or Python, Advanced Excel, and data visualization tools, project management experience, strong business acumen, and meticulous attention to detail. Furthermore, a sound understanding of sales processes and systems, prior experience with Google Cloud Platform (GCP) and BigQuery, working knowledge of Salesforce Einstein Analytics, familiarity with optimization techniques and packages, and experience with Power Apps would be beneficial. This position requires a minimum of 2 years of relevant experience and a Master's degree in Analytics or a similar field. Join us at Accenture, where we are committed to driving sales excellence and enabling you to leverage your analytical skills to make a meaningful impact.,

You are a strategic thinker passionate about driving solutions in Automation. You have found the right team. As an automation Associate in our Finance team, you will spend each day defining, refining, and delivering set goals for our firm. You will be a key driver for a critical team that conducts process deep dives, reviews ideas, and designs, develops, and deploys scalable automation solutions by leveraging intelligent solutions. Your key focus will be to customize firm-wide intelligent automation capabilities to deploy cost-effective modules that impact execution velocity, enhance controls, and improve ROI. Job responsibilities - Partner with relevant stakeholders to understand process-related manual touchpoints, design future state, develop, test, and deploy - Manage and deliver E2E projects in adherence to the Hubs governance and execution model - Ensure automation implementation is compliant as per company policy - Collaborate with business, technology teams, controls partners to ensure calibrated delivery Required qualifications, capabilities, and skills - Expert with hands-on experience in development (must have) - intelligent automation solutions: Python (selenium, django, pandas, numpy, win32com, tkinter, PDF/OCR libraries, exchange connections, API connectivity), UI Path (attended & unattended), Alteryx (advanced) and Pega (advanced) - Advanced hands-on experience - Tableau, QlikView, Qlik sense & SharePoint - 5+ years experience in technology development, strong problem-solving abilities, project management, roadblock management & suctioning - Degree in Computer Science, Engineering, or any related field - Advanced knowledge of Microsoft Office with proficiency in MS Excel, MS Access & MS PowerPoint Preferred qualifications, capabilities, and skills - Project Management Certification - Demonstrate innovation with the ability to translate concepts into visuals - Technical Designer / Solution Architect,

Job Description Internal Audit - Embedded Data - Associate - Hyderabad What We Do Internal Audit’s mission is to independently assess the firm’s internal control structure, including the firm’s governance processes and controls, risk management, capital and anti-financial crime framework. In addition, it is also to raise awareness of control risk and monitor the implementation of management’s control measures. In Doing So, Internal Audit Communicates and reports on the effectiveness of the firm’s governance, risk management and controls that mitigate current and evolving risk Raise awareness of control risk Assesses the firm’s control culture and conduct risks; and Monitors management’s implementation of control measures Goldman Sachs Internal Audit is organized into global teams comprising of business and technology auditors that cover all the firm’s businesses and functions - securities, investment banking, consumer and investment management, risk management, finance, cyber-security and technology risk, and engineering Who We Look For Goldman Sachs Internal Audit comprises individuals from diverse backgrounds including chartered accountants, developers, risk management professionals, cybersecurity professionals, and data scientists. We are organized into global teams comprising business and technology auditors to cover all the firm’s businesses and functions, including securities, investment banking, consumer and investment management, risk management, finance, cyber-security and technology risk, and engineering. Embedded Data Analytics In Internal Audit, we ensure that Goldman Sachs maintains effective controls by assessing the reliability of financial reports, monitoring the firm’s compliance with laws and regulations, and advising management on developing smart control solutions. Embed Data Analytics team leverages its programming and analytical capabilities to build innovative data driven solutions. The team works closely with auditors to understand their pain points and develop data-centric solutions to address the same Your Impact As part of the third line of defense, you will be involved in independently assessing the firm’s overall control environment and its effectiveness as it relates to current and emerging risks and communicating the results to local/ global management. In doing so, you will be supporting the provision of independent, objective and timely assurance around the firm’s internal control structure, thereby supporting the Audit Committee, Board of Directors and Risk Committee in fulfilling their oversight responsibilities. We are looking for a strong data scientist, passionate about using data to challenge the norm, to join our Embed Data Analytics team. The candidate will work closely with the audit teams to build innovative and reusable analytical tools that will help make audit testing more efficient and provide meaningful insights into firm’s control environment Responsibilities Execute on DA strategy developed by IA management within the context of audit responsibilities, such as risk assessment, audit planning, creation of reusable tools and providing innovative solutions to complex problems Partner with audit teams to help identify risks associated with businesses and facilitate strategic data sourcing and develop innovative solutions to increase efficiency and effectiveness of audit testing Build production ready analytical tools to automate repeatable and reusable processes within IA Build and manage relationships and communications with Audit team members Basic Qualifications 3+ years of experience with a minimum of Bachelor’s in Computer Science, Math, or Statistics Experience with RDBMS/ SQL Proficiency in programming languages, such as Python, Java, or C++ Knowledge of basic statistics, including descriptive statistics, data distribution models, Time Series Analysis, correlation, and regression, and its application to data Strong team player with excellent communication skills (written and oral). Ability to communicate what is relevant and important in a clear and concise manner and ability to handle multiple tasks Strong contributing member of Data Science team and help build analytical capabilities for Internal Audit Division Driven and motivated and constantly taking initiative to improve performance Preferred Qualifications Experience with advanced data analytics tools and techniques Familiarity with text analytics and NLP using python Familiarity with machine learning algorithms and exposure to supervised and unsupervised learning - Linear/Logistic Regression, SVM, Random Forest and Boosting, Clustering and Patterns Recognition techniques Experience with analytical/ statistical programs such as SAS, SPSS, and R Experience with visualization tools (Spotfire, Qlikview or Tableau) is a plus Creativity/Innovation, i.e., ability to create new ways to improve current processes and develop practical solutions that add value to department About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.htm

Whether you’re at the start of your career or looking to discover your next adventure, your story begins here. At Citi, you’ll have the opportunity to expand your skills and make a difference at one of the world’s most global banks. We’re fully committed to supporting your growth and development from the start with extensive on-the-job training and exposure to senior leaders, as well as more traditional learning. You’ll also have the chance to give back and make a positive impact where we live and work through volunteerism. The Product Developer is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. Requires basic commercial awareness. There are typically multiple people within the business that provide the same level of subject matter expertise. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Significant impact on the area through complex deliverables. Provides advice and counsel related to the technology or operations of the business. Work impacts an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family. In this role, you’re expected to: Development of reporting and analytical solutions using various technologies like Python, relations and non-relational databases, Business Intelligence tools, and code orchestrations Identifies solutions ranging across data analytics, reporting, CRM, reference data, Workflows, and trade processing. Designs compelling dashboards and Reports using business intelligence tools like Qlikview, Tableau, Pixel-perfect, etc . Performing data investigations with high degree of accuracy under tight timelines Develops plans, prioritizes, coordinates design and delivery of products or features to product release, and serves as product ambassador within user community. Mentoring to junior colleagues on technical topics relating to data analytics and software development and conducts code reviews. Follows market, industry, and client trends to own field and adapts them for application Citi’s products and solutions platforms. Works in close co-ordination with Technology, Business Managers, and other stakeholders to fulfill the delivery objectives. Partners with senior team members and leaders and a widely distributed global user community to define and implement solutions. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. As a successful candidate, you’d ideally have the following skills and exposure: 8-12 years’ experience using tools of large data sets and proficient knowledge of data modeling and databases, such as Microsoft SQL Server, Oracle, and Impala Advance knowledge of analytical and business intelligence tools including Tableau desktop, Tableau Prep, Tabpy, Access. Familiarity with product development methodologies Proficient knowledge of programming languages and frameworks such as Python, Visual Basic, and/or R, Apache Airflow, Streamlit and/or Flask, Starburst Well versed with code versioning tools like github, bitbucket, etc.. Ability to create business analysis, troubleshoot data quality issues, and conduct exploratory and descriptive analysis of business datasets. Ability to structure and break down problems, develop solutions, and drive results. Project Management skills with experience leading large technological initiatives Education: Bachelor’s/University degree, Master’s degree preferred Take the next step in your career, apply for this role at Citi today https://jobs.citi.com/dei This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. 8-12 years’ experience using tools for statistical modeling of large data sets Proficient knowledge of data modeling and databases, such as Microsoft SQL Server, Oracle, and Impala Proficient knowledge of programming languages and frameworks such as Python, Visual Basic, and/or R, Apache Airflow, Streamlit and/or Flask, Starburst, Well versed with code versioning tools like git/bit- bucket. Advance knowledge of analytical and business intelligence tools including Tableau desktop, Tableau Prep, Tabpy, Access. ------------------------------------------------------ Job Family Group: Product Management and Development ------------------------------------------------------ Job Family: Product Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Description Are you interested in joining an innovative team that is at the forefront of solving complex business problems? Supply Chain by Amazon will allow everyone to leverage Amazon’s advanced logistics, supply chain, and transportation to move products from manufacturers to customers, while keeping products in stock, shipping faster, reliably and significantly lowering costs. Come join the team that’s making this vision a reality. Leveraging Amazon’s efficient and state of the art network and technology, we will be offering supply chain as a service to all manufacturers – big and small. We are looking for an entrepreneurial, results-oriented Sr. Product Manager - Tech to join our Amazon Warehousing & Distribution team. This is an opportunity to work in a customer-facing startup like environment within Amazon. We seek a someone who is motivated by a fast-paced and highly entrepreneurial environment looking to make instant impact. You will leverage your deep product management expertise to work backwards from our customers, identify the right opportunities to help us accelerate at scale, and innovate faster for our customers. If you have a passion for innovation, for thinking big to tackle ambiguous problems, for solving some of the biggest technical challenges in the industry, and for building elegant products that delight our customers, we need you! Key job responsibilities As Sr. PM-Tech, you will own customer research, benchmarking, strategy, and execution for your domain. You will define the product roadmap and bring your vision to life by leading a cross-functional team of engineers, designers, program managers, scientists and other product owners. You will drive day-to-day product development from design through to release. Your product requirements are concise, with clear, measurable success criteria. You are an effective negotiator, make smart trade-offs without sacrificing quality, and drive appropriate schedules. You use data to influence our business strategy and technical priorities, and escalate when necessary without damaging relationships. You independently represent your products and the product team and are comfortable communicating with senior executives as well as with business and technical stakeholders About The Team The Amazon Warehousing & Distribution team owns and manages the distribution capabilities for the broader FBA and Supply Chain by Amazon program. We receive inventory from sellers in bulk, store it in our dedicated distribution centers and outbound to FBA and other off-Amazon channels with dedicated SX pages (within seller central) and fees structure. We are continuing to target YoY growth while driving MLP features for our product and end to end seller experience. We are entrepreneurial in our spirit and move quickly while obsessing over our customers. Basic Qualifications Bachelor's degree Experience owning/driving roadmap strategy and definition Experience with feature delivery and tradeoffs of a product Experience contributing to engineering discussions around technology decisions and strategy related to a product Experience managing technical products or online services Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning Preferred Qualifications Experience in using analytical tools, such as Tableau, Qlikview, QuickSight Experience in building and driving adoption of new tools Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A3001610

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. Assistant Manager, Risk Management Services 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. This is a role that requires incumbent to own & execute a variety of global processes related to compliance monitoring of engagements across Service Lines on Legal & Regulatory requirements & EY Policy requirements. The candidate should be comfortable working in an unstructured & complex environment requiring out of the box thinking, logical reasoning, sound verbal & written communication skills, ability to make prompt yet well informed decisions. The opportunity Global Compliance Engagement Testing (GCET) supports the Global Risk Management in conducting compliance testing across Service Lines. GCET program is an internal EY review process which includes selecting engagements of the PPEDs to test them on Legal & Regulatory compliances & internal EY policy compliances and providing feedback & ratings to the PPEDs basis the outcome of their review. The team also provides analytical reports consisting of outcome of compliance testing to Global, Area and Region stakeholders. This is a great opportunity to be part of a leading firm whilst being instrumental in contributing to strengthening of compliance framework of the firm. Accordingly, we are looking for an Assistant Manager to lead our Technology, Analytics, Insights, and Reporting team. The ideal candidate will be adept at making strategic decisions, leading a team of senior analysts, and driving automation initiatives. This role requires a combination of technical expertise, leadership skills, and a strategic mindset to enhance our analytical capabilities and streamline reporting processes. This role requires a blend of technical acumen, analytical expertise, and the ability to communicate insights effectively. Large amounts of data are available to potentially highlight risks, hidden patterns, correlations and other relevant insights. With today’s technology, we can explore the analysis of data and obtain answers and indicators. Your key responsibilities Oversee the strategic direction of the Technology, Analytics, Insights, and Reporting team, ensuring alignment with the company's goals and objectives. Lead and mentor a team of senior analysts, fostering a culture of excellence, innovation, and professional growth. Drive the automation of data processes to improve efficiency, accuracy, and scalability of analytics and reporting functions. Collaborate with cross-functional teams to understand business needs and translate them into actionable data-driven strategies. Develop and maintain advanced analytical frameworks, reports, dashboards, and data visualizations to support strategic decision-making. Champion the adoption of new technologies and analytical tools within the organization, staying ahead of industry trends. Ensure the integrity and quality of data through robust data governance and management practices. Present complex analytical findings and strategic insights to senior management and stakeholders in a clear and compelling manner. Manage the team's project portfolio, prioritize initiatives, and ensure timely delivery of analytics solutions. Contribute to the development and execution of the company's data strategy, including data architecture, modelling, and analytics roadmaps. Lead a team of analysts and seniors to design, develop, and maintain advanced reports, dashboards, and data visualizations to support business objectives. Work closely with business stakeholders to define data requirements, ensuring data integrity and accuracy across the organization. Spearhead the development of sophisticated data models and databases to underpin analytics initiatives. Collaborate with executive leadership to identify opportunities for leveraging company data to drive business solutions and innovation Provide expert-level support and training for analytics tools and platforms, including advanced troubleshooting and optimization. Keep abreast of industry trends and emerging technologies to enhance analytics methodologies and toolsets. Skills and attributes for success Technical attributes: lysis Fundamentals: Proven track record of leading teams and driving strategic decisions through data analytics. Strong expertise in data visualization tools (e.g., Power BI, Tableau) and proficiency in SQL. Experience with automation tools and scripting languages (e.g., Python, R) is highly desirable. Excellent MS Excel skills, including the use of formulas, pivot tables, and basic data manipulation techniques Excellent knowledge of data analysis - principles and methodologies Excellent knowledge of statistical concepts and the ability to perform simple statistical analyses Understanding of collaboration and productivity tools like Microsoft Office Suite, SharePoint, or similar. Advanced proficiency in SQL and extensive experience with database management systems. Management attributes: Exceptional analytical, strategic thinker, problem-solving, and critical thinking skills with meticulous attention to detail. Outstanding communication and interpersonal abilities, capable of conveying complex data insights to diverse audiences. Proven leadership skills with the ability to manage projects and mentor team members. People Management - Manage performance of the team members from setting goals to assessing performance against goals to providing performance feedback A proactive learner with a passion for adopting new technologies and analytical methods. Responsible for achieving customer satisfaction measures / project critical success factors Clear communication skills (written and oral) with good email etiquette Ability to work independently and collaboratively in a team environment. Strong organizational and project management skills. Potential to work on multiple tasks coextensively while delivering utmost quality. Ability to adhere to strict timelines for task completion. Identify training, learning & development opportunities for the team members Leadership and team management skills, with the ability to inspire and develop talent. To qualify for the role, you must have Post-graduate or equivalent degree in Information Technology, Computer Science, Data Analytics, Statistics, Data Science or related field from a reputed college Minimum of 6-8 years of experience in a data analytics/business intelligence role/ data analysis and reporting. Certifications in analytics tools such as AWS Certified Big Data – Specialty, Tableau Desktop Certified Professional, Microsoft Power BI Certification is preferrable. Ideally, you’ll also have Knowledge on difference between risk management attributes Technologies and Tools Experience with data visualization tools like Tableau, Power BI, QlikView, or Looker Proficiency in BI tools like Microsoft Power BI, IBM Cognos, or Oracle BI Proficiency in Microsoft Excel - use of formulas, pivot tables, and basic data manipulation techniques Skilled in MS Office suites like Microsoft 365, PowerPoint Familiarity with cloud platforms like AWS, SharePoint, or Microsoft Azure Strong skills in programming languages such as Python, R, SQL, or Scala. Proficiency in analytics platforms such as Google Analytics, Adobe Analytics, or Mixpanel. What you can look for A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment A team which has its foundation in the core values of trust, respect and teaming. The team which focuses on supporting its colleagues to excel in their respective domains and provides avenues to help acquire and demonstrate new skills. Opportunities to work with Global Executive risk management teams on strengthening compliance framework 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.

Responsibilities & Key Deliverables Job Roles and Responsibilities DEALER PROFITABILITY Deliverables Yearly Business Plan, Customer Retention, Qwik and Mech Bay Productivity, Body shop quality and efficiency, allied business Tools/Metrics WIN - VIN, mEES, MAP+, Shield, RSA, VAS MANPOWER CAPABILITY Deliverables Training Plan Development and Adherence, Training Scores, Training Module, CoTEK Inhouse Training Tools/Metrics Manpower Policy Circular, Yearly Training Circular, MILE Portal, SA and CRE OJT training modules, RV Analysis, Skill Matrix; Pantry, Cashier, Security Guard and PandD training modules WORKSHOP PROCESS and MANAGEMENT SYSTEM Deliverables Business Development Process, DMS, QLIKVIEW, Shop Floor Process, Dealer Role Holder Responsibility, Review and Recognition Tools/Metrics DIY Manual, DMS Hoto, RO Process, Parts, Revenue, SBE, Process Circular, CCM App, mTRAQ, QLIKVIEW, mPACT, TekAlert, TSB, SI, TEB INFRASTRUCTURE Deliverables "Facility - e.g. building, signage, lighting, AC, Wi-Fi, housekeeping, pantry, amenities Uniform - e.g. as per approved norms, grooming, hygiene" Tools/Metrics CDC Manual, Process Circular CUSTOMER SATISFACTION Deliverables Engagement/ Events, Customer Handling, CSI Score, CAPs, Social Media Sentiments Tools/Metrics Process Circular, Proprietary Study Report, DHC, TechM Report, Technical Query, Written Communication with Dealer, Social Media post handling Experience 8 to 12 Yrs. Industry Preferred Qualifications Btech General Requirements

Join us as an Assistant Vice President - Model Execution at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. You may be assessed on the key critical skills relevant for success in role, such as experience with planning and stress testing, model validation, reporting as well as job-specific skillsets. To be successful in this role, you should have: Strong written and verbal communication skills. Sound understanding of financial statement analysis. Good understanding of financial markets and relationships with major macroeconomic variables. Experience in building and maintenance of financial models on MS Excel, and the ability to crunch numbers from large datasets and produce actionable insights/analytics. Robust analytical and problem solving skills. Ability to work with multiple teams to drive business outcomes. Some other highly values skills include: Post-graduate degree or equivalent in Finance / Accounting. Candidates with CFA/FRM charters are desirable but this is not a mandate. Prior experience in forecasting, valuations and/or developing / execution of stress testing models in the banking industry. Understanding of key model risk management principles prescribed by global regulators. Hands-on experience in using tools such as Python, Alteryx, Tableau or Qlikview is desirable but not a mandate. This role will be based out of Chennai. Purpose of the role To develop strategic infrastructure requirements, onboard current model suite & new quantitative model methodologies, redevelop models based on monitoring, IVU feedback and business changes and perform validation process. Accountabilities Delivery of advanced model analytics, improve stability and bring consistency in calculation approach. Leading technical engagements with QA and IVU for strategic redevelopment project on behalf of FTC. Provision of model execution, output analysis and lifecycle management capabilities across use cases for both forecasting and BAU models. Implementation of process improvements though enhanced controls, automation and improved analytics. Delivery of advanced model analytics (Recalibration, Sensitivity, root cause analysis etc.). Controls and testing: Addressing execution issues with IT and QA, Perform UAT as part of model product ionisation. Cataloguing of issues, potential improvement for model redevelopment, authoring technical documentation with QA. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. Your Key Responsibilities As an Associate in the Deals Tech & Data Solutions team, you will support data-driven initiatives that enable insights into M&A and other transaction-related activities. You will leverage skills in data manipulation, visualization, and statistical modelling to support clients in solving complex business problems. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyze facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements Contributing to client engagement and projects Understanding business deals & M&A transaction Consulting environments Navigating multiple engagements Managing stakeholder expectations Building relationships with clients Developing skills and knowledge in business consulting Enhancing quality through technology-enabled experiences Participating in project tasks and research To Qualify For The Role You Must Have Bachelor’s degree in a relevant field with hands-on experience in data analytics Possessing analytics & problem-solving capabilities Proficiency with relational database models and writing SQL queries Experience with data visualization tools (e.g. QlikView, Tableau, Power BI) Basic understanding of key financial statements and accounting principles Ability to think critically about problems and apply analytics strategy Strong SQL skills and relational database knowledge Experience in Excel-based analysis and financial reporting Proficiency in Power BI, Tableau, or similar tools Hands-on experience with ETL processes and data integration Strong analytical thinking and stakeholder communication skills Good-to-have skills Experience in Deals, M&A - Tech & Data Certifications in database programming such as MS SQL Server, Oracle, etc. and/or data visualization certifications such as Tableau and PowerBI Certifications within cloud technology platforms such as AWS, Azure, GCP, etc. Certifications within predictive modeling and/or machine learning platforms such as Python, SAS, etc. Education Qualification B.E/B.Tech (CS/IT/EEE/EC) – Minimum 60%; No Backlogs The ideal candidate will combine academic qualifications with a strong track record of practical experience in mergers and acquisitions, contractual due diligence and data analysis

In this role, you're expected to provide an integrated end-to-end credit underwriting, identification, measurement, management, monitoring, and reporting for wholesale credit businesses across the enterprise. The ICM In-Business Quality Assurance function (QA) verifies that established standards and processes are followed and consistently applied. You will execute and participate in the Quality Assurance Reviews (QARs), providing feedback, insights, and observations on any deficiency and areas of improvement. As the ICM In-Business Quality Assurance Data Analytics Vice President, you will engage with the management of the respective ICM business area, Independent Risk, and critical partner stakeholders and regulators. You will work closely with the In-Business Quality Assurance Head of Data Analytics to set the global strategy and lead the implementation of a robust Data analytics and testing program for the Quality Assurance function related to Wholesale Credit Risk (WCR) data governance. This role requires hands-on experience in designing, planning, prototyping, productionizing, deploying, maintaining, and documenting reliable and scalable data science solutions. Additionally, you will be responsible for deriving concrete insights from data, qualifying business impact, and monitoring and analyzing model performance and data accuracy. As a successful candidate, you ideally have relevant experience in data analytics, Wholesale Credit Risk, and leadership skills. You should possess strong communication skills, the ability to collaborate effectively with stakeholders at all levels, and a good understanding of risk and control framework in banks. You should also have solid organizational skills, a logical and methodical mindset, and the ability to work under pressure while managing time and priorities effectively. Your technical skills should include coding knowledge and experience with programming languages like Python, Java, C++, and experience working with and manipulating large sets of data. A Bachelors or Masters degree in a quantitative or equivalent field is required, along with proficiency in data analysis tools like SQL, Python, SAS, R, Alteryx, Splunk, and visualization tools like Tableau, Qlikview, MS Power BI. If you have a drive to learn and master new technologies, excellent problem-solving skills, and clear communication abilities, you are encouraged to apply for this role. This position offers an opportunity to lead complex Quality Assurance work, provide effective challenge on data and credit processes, and partner with stakeholders to drive sustainable remediation.,

Embark on a transformative journey as an AI Incubator Data Scientist at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. Seeking a talented Data Scientist to join our Data Science team in particular our AI incubator where you'll spearhead the evolution of our digital landscape, driving innovation dedicated to driving commercial value from data across the Corporate Bank. In this role, you will have the opportunity to shape and lead projects with other members of the team - leveraging machine learning techniques and AI to extract valuable insights and create tangible business impact. We embrace a design-led thinking approach that emphasizes close collaboration with business stakeholders and a fail-fast mindset. This position offers the chance to work with extensive datasets that span billions of rows, applying state-of-the-art AI techniques to unlock millions in business value. To be a successful AI Incubator- Data Scientist you should have experience with: Bachelor or masters degree in data science (or similar) or equivalent commercial experience Experience with working with senior stakeholders across the data science life cycle from inception of an idea to the delivery within a production environment Ability to translate technical work into business terms and communicate value to business stakeholders. Commercial experience in applying machine learning techniques to generate business value (e.g. clustering, classification, regression, NLP techniques) Ability to write close to production standard code with strong understanding of key coding principals e.g. separation of concerns, generalisation of code. Strong experience in Python and SQL is a must. Familiarity with AWS data science and AI services, including SageMaker and Bedrock Understanding of GenAI , LLMs and the RAG framework Proficiency in data visualization software, ideally Tableau, with exposure to QlikView, PowerBI, or similar tools Knowledge of code management methodologies and ability to implement these on projects. Some Other Highly Valued Skills May Include Experience in front end development frameworks such as Angular/React Flask/Streamlit. MVC Architecture. Experience of Agentic AI. Experience of working in a big data environment using PySpark. You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. This role will be based in Pune. Purpose of the role To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation. Accountabilities Identification, collection, extraction of data from various sources, including internal and external sources. Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis. Development and maintenance of efficient data pipelines for automated data acquisition and processing. Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities. Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team’s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Join us as an Assistant Vice President - Model Execution at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. You may be assessed on the key critical skills relevant for success in role, such as experience with planning and stress testing, model validation, reporting as well as job-specific skillsets. To Be Successful In This Role, You Should Have Strong written and verbal communication skills. Sound understanding of financial statement analysis. Good understanding of financial markets and relationships with major macroeconomic variables. Experience in building and maintenance of financial models on MS Excel, and the ability to crunch numbers from large datasets and produce actionable insights/analytics. Robust analytical and problem solving skills. Ability to work with multiple teams to drive business outcomes. Some Other Highly Values Skills Include Post-graduate degree or equivalent in Finance / Accounting. Candidates with CFA/FRM charters are desirable but this is not a mandate. Prior experience in forecasting, valuations and/or developing / execution of stress testing models in the banking industry. Understanding of key model risk management principles prescribed by global regulators. Hands-on experience in using tools such as Python, Alteryx, Tableau or Qlikview is desirable but not a mandate. This role will be based out of Chennai. Purpose of the role To develop strategic infrastructure requirements, onboard current model suite & new quantitative model methodologies, redevelop models based on monitoring, IVU feedback and business changes and perform validation process. Accountabilities Delivery of advanced model analytics, improve stability and bring consistency in calculation approach. Leading technical engagements with QA and IVU for strategic redevelopment project on behalf of FTC. Provision of model execution, output analysis and lifecycle management capabilities across use cases for both forecasting and BAU models. Implementation of process improvements though enhanced controls, automation and improved analytics. Delivery of advanced model analytics (Recalibration, Sensitivity, root cause analysis etc.). Controls and testing: Addressing execution issues with IT and QA, Perform UAT as part of model product ionisation. Cataloguing of issues, potential improvement for model redevelopment, authoring technical documentation with QA. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

You should have 3-5 years of experience as a Data Analyst and possess expertise in data-driven problem solving. Your skills should include proficiency in Data Modelling, Data Mining, and Data Segmentation Methods. You must excel in analytical thinking, business modelling, and problem-solving. Advanced Microsoft Excel skills are a must, along with experience working with MS SQL. Knowledge of R Programming is essential, as well as experience with XML, ETL frameworks, and JavaScript. You should be adept at creating queries and reports and having experience with QlikView/Tableau will be advantageous. A good understanding of Microsoft Office and excellent communication skills, both verbal and written, are required. As a Data Analyst, your responsibilities will include applying Data Modelling, Data Mining, and Data Segmentation techniques to the available data. You will be expected to identify and analyze trends or patterns in complex data sets using statistical methods and interpret the data based on the analyzed trends and patterns. Collaboration with management to prioritize business requirements and identifying improvement opportunities in business processes will also be part of your role. This is a Full-Time position located in Vadodara. The educational requirements for this role include a BE (IT), BE (CS), MCA, MSC (IT), BSC in Statistics, or MSC in Statistics. Salary details will be discussed in person. Please send your resume to info@99plusitsolutions.com or 99plusit@gmail.com for consideration.,

As a Software Engineer - Data Reporting Services at Incedo, you will be responsible for creating reports and dashboards for clients. You will work with clients to understand their reporting needs and design reports and dashboards that meet those needs. You will be skilled in data visualization tools such as Tableau or Power BI and have experience with reporting tasks such as data analysis, dashboard design, and report publishing. Roles & Responsibilities: Design and develop reports and dashboards to help businesses make data-driven decisions. Develop data models and perform data analysis to identify trends and insights. Work with stakeholders to understand their reporting needs and develop solutions that meet those needs. Proficiency in data visualization tools like Tableau, Power BI, and QlikView. Technical Skills Skills Requirements: Strong knowledge of SQL and data querying tools such as Tableau, Power BI, or QlikView Experience in designing and developing data reports and dashboards Familiarity with data integration and ETL tools such as Talend or Informatica Understanding of data governance and data quality concepts Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Nice-to-have skills Qualifications Qualifications 3-5 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

As a Senior Data Reporting Services Specialist at Incedo, you will be responsible for creating reports and dashboards for clients. You will work with clients to understand their reporting needs and design reports and dashboards that meet those needs. You will be skilled in data visualization tools such as Tableau or Power BI and have experience with reporting tasks such as data analysis, dashboard design, and report publishing. Roles & Responsibilities: Design and develop reports and dashboards to help businesses make data-driven decisions. Develop data models and perform data analysis to identify trends and insights. Work with stakeholders to understand their reporting needs and develop solutions that meet those needs. Proficiency in data visualization tools like Tableau, Power BI, and QlikView. Technical Skills Skills Requirements: Strong knowledge of SQL and data querying tools such as Tableau, Power BI, or QlikView Experience in designing and developing data reports and dashboards Familiarity with data integration and ETL tools such as Talend or Informatica Understanding of data governance and data quality concepts Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Business Intelligence Developer – Mumbai (Goregaon East) 27165 Work Mode: Hybrid (4 days office, 1 day WFH) Shift Timings: 12:30 PM – 9:30 PM Location: Goregaon East, Nesco (Max 1 hour commute preferred) Interview: 2 rounds, in-person Responsibilities Design and develop ETL pipelines integrating diverse data sources into BI environments. Develop dashboards and reports using Microsoft Power BI, SSRS, and other BI tools. Ensure data quality, maintain data catalog/dictionary, and support data marts/lakes. Collaborate with business partners to understand needs and translate them into BI solutions. Lead development and maintenance of complex BI dashboards and reports. Provide user training and support adoption of BI tools. Proactively identify opportunities for business growth, risk mitigation, and efficiency. Support Microsoft BI platform technologies and innovate solutions for scalability and reuse. Must-Have Skills & Experience 5-7+ years working with Microsoft BI platform: SQL Server DB, SSIS, SSRS, SSAS, Power BI, Azure Cloud services. Strong experience building and maintaining large scale data integration and ETL processes. Proficient in data warehouse architecture, data modeling, and dashboard/report development. Expertise in optimizing data integration routines and database design. Excellent communication and documentation skills. Ability to work independently in a fast-paced environment. Nice-to-Haves Experience with other BI tools like QlikView, Tableau, MicroStrategy, or open-source reporting. Cloud-based data platforms (Azure, AWS, Snowflake). DevOps experience and CI/CD deployment knowledge. Experience with data lakes and Power BI Report Server administration. Knowledge of analytics tools like R, Python, Scala, SAS. Skills: power bi,business intelligence,communication,dashboards,azure,data,dashboard/report development,ssas,documentation,ssrs,data warehouse architecture,etl,cloud,data integration,ssis,sql server db,data modeling,azure cloud services,design,microsoft

Job Title - Workplace Service Dev Analyst> Management Level : Location:Bengaluru Must have skills: Billing, Invoicing/ Vendor Management Good to have skills:MIS Reporting Job Summary : MIS / Reporting and should have very good excel skills and independently work on excel reportsEnsuring report generation within SLA. To create and maintain strong relationships with internal and external clients. And act as a subject matter expert in Workplace Transport Financial Process. Roles & Responsibilities: OVERALL, PURPOSE OF JOB This is for Workplace Billing POC. The individual must raise PR, Follow-up to release PO, Process invoices, identify vendor invoice submission issues/challenges, co-ordinate with vendor to resolve disputes, validate the outstanding, interact & work with other internal teams to enable vendor invoicing, follow up with vendor for invoice submission, track invoice until disbursement & get clear No Due certificate from vendor. Requires Interaction with Vendors / internal business stakeholders on a regular basis & escalate as appropriate to focus & achieve the business outcome of resolving vendor payment disputes. KEY RESPONSIBILITIES: Reporting of Transport Fleet / Support service partners costing, billing, invoicing, accruals & no due certificates Responsible for data retrieval, generate statistical reports & document. Researching, evaluating, and tracking in-depth data of critical processes. Preparation of MIS on daily, weekly, monthly, and quarterly basis for top management analysis. MIS and reports are to be stored/documented making it easily accessible to the management. Always ensures that the requirements of the senior management are captured and are translated into effective reporting and informational analysis. Experience using and developing outputs for reporting, data analysis and visualization tools for e.g., Advance Excel, MS Access, Macros, QlikView, Tableau or similar Service Partner Management - Interaction & resolving billing / invoicing issues with service partners as and when required Professional & Technical Skills: Graduate in Commerce, Preferable 5 Year of experience in Invoicing, Finance, Accounts, Billing and Financial Services process Strong verbal and written communication skills. Good knowledge of data analysis techniques Ensure client satisfaction & monitoring performance levels. Experience using and developing outputs for reporting and visualization tools for e.g., Advance Excel or similar Able to deal with dynamic situations, should be flexible to travel as per requirement. Qualification Experience: Minimum 3 year(s) of experience is required Educational Qualification: Graduate in any discipline, B. Com preferably

The primary focus at EITSI is to develop the next generation LIMS (Lab Information Management system), Customer portals, e-commerce solutions, ERP/CRM system, Mobile Apps & other B2B platforms for various Eurofins Laboratories and businesses. Job TitleData Engineer / Power BI Analyst Location: Bangalore, India Experience Required: 4-7 years Employment Type: Full-time : We are looking for a skilled Data Engineer / Power BI Analyst with 4-7 years of experience to join our team. The ideal candidate will have a strong background in data analysis, business intelligence, and data visualization using Power BI. This role involves working closely with stakeholders to transform data into insightful reports and dashboards that drive business decisions. Key Responsibilities: Design, develop and maintain Power BI reports, dashboards, and visualizations to support business decision-making processes. Gather and understand business requirements from various stakeholders, translating them into actionable insights through Power BI. Perform in-depth data analysis to identify trends, patterns, and insights that can be leveraged for strategic decisions. Extract, transform, and load (ETL) data from multiple sources into Power BI to ensure data is accurate, consistent, and timely. Develop and optimize DAX queries and Power Query scripts for complex data manipulations. Collaborate with data engineers, database administrators, and IT teams to ensure data quality and integrity across systems. Monitor and maintain the performance of existing Power BI solutions, making improvements as needed. Provide training and support to business users on Power BI tools and best practices. Stay up to date with the latest Power BI features and industry trends to continuously enhance BI capabilities. Required Skills & Qualifications: 4-7 years of experience in Power BI development and data analysis. Proficiency in DAX and Power Query for data manipulation and complex calculations. Strong analytical and problem-solving skills. Strong understanding of SQL and experience in querying databases for data extraction. Solid experience in data visualization principles and best practices. Ability to work with large and complex datasets from multiple sources. Experience in data modeling and building efficient data structures within Power BI. Familiarity with Power BI service features, including report publishing, data refresh scheduling, and security settings. Strong analytical and problem-solving skills, with attention to detail. Excellent communication and presentation skills to effectively convey insights to non-technical stakeholders. Experience with Excel and other BI tools like Tableau or QlikView is a plus. Additional Requirements: Demonstrated ability to have successfully completed multiple, complex technical projects. Demonstrates a rational and organized approach to the tasks undertaken and an awareness of the need to achieve quality. Demonstrates high standards of professional behaviour in dealings with clients, colleagues and staff. Strong written communication skills. Is effective and persuasive in both written and oral communication. Experience with gathering end user requirements and writing technical documentation. Time management and multitasking skills to effectively meet deadlines under time-to-market pressure. Qualifications Bachelor"™s degree in computer science, Information Technology , or a related field. Power BI or relevant Microsoft certifications are preferred. Additional Information Prior experience in industrial settings, and especially with Laboratory processes, is a plus.

Business Advisors shape the vision and strategy with the client, understand the needs of the users/stakeholders, carry out an elicitation of processes, data and capabilities and derive the target processes and the business requirements for the current and future solution. - Grade Specific Performs analysis of processes, systems, data and business information and research, and builds up domain knowledge. Skills (competencies) Abstract Thinking Active Listening Agile (Software Development Framework) Analytical Thinking Backlog Grooming Business Architecture Modeling Business Process Modeling (e.g. BPMN) Change Management Coaching Collaboration Commercial Acumen Conceptual Data Modeling Conflict Management Confluence Critical Thinking CxO Conversations Data Analysis Data Requirements Management Decision-Making Emotional Intelligence Enterprise Architecture Modelling Facilitation Functional IT Architecture Modelling Giving Feedback Google Cloud Platform (GCP) (Cloud Platform) Influencing Innovation Jira Mediation Mentoring Microsoft Office Motivation Negotiation Networking Power BI Presentation skills Prioritization Problem Solving Project Governance Project Management Project Planning Qlik Relationship-Building Requirements Gathering Risk Management Scope Management SQL Stakeholder Management Story Mapping Storytelling Strategic Management Strategic tThinking SWOT Analysis Systems Requirement Analysis (or Management) Tableau Trusted Advisor UI-Design / Wireframing UML User Journey User Research Verbal Communication Written Communication

Business Advisors shape the vision and strategy with the client, understand the needs of the users/stakeholders, carry out an elicitation of processes, data and capabilities and derive the target processes and the business requirements for the current and future solution. - Grade Specific Performs analysis of processes, systems, data and business information and research, and builds up domain knowledge. Skills (competencies) Abstract Thinking Active Listening Agile (Software Development Framework) Analytical Thinking Backlog Grooming Business Architecture Modeling Business Process Modeling (e.g. BPMN) Change Management Coaching Collaboration Commercial Acumen Conceptual Data Modeling Conflict Management Confluence Critical Thinking CxO Conversations Data Analysis Data Requirements Management Decision-Making Emotional Intelligence Enterprise Architecture Modelling Facilitation Functional IT Architecture Modelling Giving Feedback Google Cloud Platform (GCP) (Cloud Platform) Influencing Innovation Jira Mediation Mentoring Microsoft Office Motivation Negotiation Networking Power BI Presentation skills Prioritization Problem Solving Project Governance Project Management Project Planning Qlik Relationship-Building Requirements Gathering Risk Management Scope Management SQL Stakeholder Management Story Mapping Storytelling Strategic Management Strategic tThinking SWOT Analysis Systems Requirement Analysis (or Management) Tableau Trusted Advisor UI-Design / Wireframing UML User Journey User Research Verbal Communication Written Communication

Business Advisors shape the vision with the client, understand the needs of the users/stakeholders, carry out an elicitation of processes, data and capabilities and derive the target processes and the business requirements for the current and future solution. - Grade Specific Conducts appropriate meetings/workshops to elicit/understand and document the business requirements using their domain expertise. In addition, may also produce process and data models of the current and/or future state. Skills (competencies) Abstract Thinking Active Listening Agile (Software Development Framework) Analytical Thinking Backlog Grooming Business Architecture Modeling Business Process Modeling (e.g. BPMN) Change Management Coaching Collaboration Commercial Acumen Conceptual Data Modeling Conflict Management Confluence Critical Thinking CxO Conversations Data Analysis Data Requirements Management Decision-Making Emotional Intelligence Enterprise Architecture Modelling Facilitation Functional IT Architecture Modelling Giving Feedback Google Cloud Platform (GCP) (Cloud Platform) Influencing Innovation Jira Mediation Mentoring Microsoft Office Motivation Negotiation Networking Power BI Presentation skills Prioritization Problem Solving Project Governance Project Management Project Planning Qlik Relationship-Building Requirements Gathering Risk Management Scope Management SQL Stakeholder Management Story Mapping Storytelling Strategic Management Strategic tThinking SWOT Analysis Systems Requirement Analysis (or Management) Tableau Trusted Advisor UI-Design / Wireframing UML User Journey User Research Verbal Communication Written Communication

Description Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. Learn more at https://www.amazon.com/music. Want to transform the way people enjoy music on Amazon Music apps and Echo devices? Come join the team that made Amazon Music Unlimited, HD, Prime Music, ads-supported free music and more available to millions of customers. The Amazon Music Search team is looking for a Senior Product Manager - Tech to innovate, design, build and launch new ML-based Search features and experiences. Key job responsibilities Own and drive the product roadmap for search features such as search history and find-as-you-type Collaborate with engineering teams to define technical requirements, prioritize features, and oversee development and implementation Analyze user behavior data and conduct A/B experiments to optimize the relevance and performance of search suggestions, autocomplete, and historical query recommendations. Partner with UX designers to create intuitive and seamless search experiences that enhance customer satisfaction and engagement within the Amazon Music platform. Develop and track key performance indicators (KPIs), regularly reporting on their impact on user engagement, retention, and overall search quality. Coordinate cross-functionally with other Amazon Music teams (e.g., content catalog, recommendations, Generative AI) to ensure search features align with and enhance other product areas. Stay informed about industry trends and competitive landscape in music search technologies, proposing innovative solutions to maintain Amazon Music's competitive edge in search experiences. About The Team The Amazon Music Search mission is to help customers find the most contextually relevant search results, across in-app and voice experiences, as quickly as possible. We act as a key source of information regarding what content users can access on Amazon Music. We collaborate closely with the various Amazon Music client teams and other partners to continuously improve the search experience across all platforms, including visual apps and Amazon Music on Alexa. Search services billions of requests for customers worldwide each month and is a critical part of Amazon Music engagement and retention. Basic Qualifications Bachelor's degree Experience owning/driving roadmap strategy and definition Experience with feature delivery and tradeoffs of a product Experience contributing to engineering discussions around technology decisions and strategy related to a product Experience managing technical products or online services Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning Preferred Qualifications Experience performing statistical analysis of data using SQL, Excel and other tools Experience in using analytical tools, such as Tableau, Qlikview, QuickSight Experience working on consumer products Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A3001604