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Top Data Analyst Jobs in Delhi
The KYC Client Data Analyst is responsible for implementing KYC standards, managing client documentation, reviewing client data, and engaging in KYC/AML interactions. The role requires strong analytical skills and a client-focused approach, ensuring compliance with firm-wide standards and timelines.
The GTM Data Operations Associate/Analyst will support data management processes within the GTM planning and operations team, focusing on Customer and Contact master data lifecycle events, reporting in Salesforce and Big Query, and managing incoming data requests while collaborating with various teams across the organization.
As a Senior Data Analyst, you will define source data for insights, determine data mapping across sources, report inconsistencies, propose data migration sets, and assist in coordination. You will work with stakeholders to avoid negative impacts and ensure robust communication throughout the project portfolio.
The Sales Data Analyst at Mars Snacking will gather and manage data requirements for various business initiatives, ensuring data readiness and quality. Responsibilities include collaborating with technical teams, analyzing and optimizing data usage, and supporting AI and analytics deployment for sales functions. They will work cross-functionally to drive data literacy and usage across markets.
As a Data Analyst at GroundTruth, you will provide analytical support across teams by building scalable solutions, performing root cause analysis, creating automated reports, and deriving insights from large data sets. This role involves collaborating with stakeholders and applying statistical analysis to enhance business decisions.
As a Principal Data Analyst, you'll lead data-driven initiatives, mentor junior analysts, and design sophisticated analytical solutions using large datasets. Your role will involve collaborating across teams to derive insights, support product decisions, and enhance user experience through data storytelling. You'll utilize tools like SQL, Python, and visualization software to communicate findings effectively.
As a Data Analyst, you will collect, process, and analyze data to generate insights that support decision-making across the organization. Key responsibilities include defining metrics, cleaning and transforming data, conducting A/B testing, and collaborating with Data Engineers to improve processes.
As a Senior Data Analyst, you'll lead project delivery by analyzing large datasets to drive business insights and recommendations. You'll collaborate with product stakeholders, develop methodologies for business needs, ensure data governance, and leverage various data analysis tools.
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This role requires analyzing data, documenting business processes, and participating in solution design and change management activities. The individual will collaborate on implementing solutions and track progress while managing status reporting. Strong interpersonal skills and banking domain knowledge are essential.
As a Data Scientist at Roblox, you will analyze large datasets to derive insights, support data management, and collaborate with teams to enhance analytical capabilities. Your role involves crafting reports for stakeholders, diagnosing operational issues, and ensuring data aligns with business objectives while mentoring others in data-driven HR initiatives.
The Analyst/Sr Analyst in Global Data will support the Master Data Management team in Purchase To Pay processes at Eli Lilly. Responsibilities include implementing master data governance, performing data quality audits, partnering with IT on projects, and providing user education and support for SAP data management.
The Data Quality Analyst will support the Global Data Quality strategy by collaborating with various teams to define data quality rules, manage data cleansing projects, and document data quality standards, ensuring high-quality master data for the Digital Core platform.
The Strategy CS Data Analyst is responsible for creating and maintaining client reports, conducting data analysis, and visualizing data to communicate trends and insights. The role involves extracting data from web analytics platforms, preparing data for analysis, and collaborating with teams to address client needs.
The Senior Data Analyst will extract, transform, analyze data and conduct hypothesis testing to provide insights for clients. Responsibilities include managing cross-functional teams, supporting sales with data expertise, creating reporting tools, and developing products while mentoring new team members.
The Strategy Data Analyst will conduct detailed investigations into client performance, create case studies, perform meta analyses for insights on digital marketing and ecommerce, and empower business teams with data-driven decision-making through training and documentation.
The Senior Data Analyst will lead analytics efforts for games, collaborating with LiveOps, Marketing, and Product Management. Responsibilities include overseeing reports and tables, improving data pipelines and ETL processes, and delivering impactful projects. They will manage junior analysts and maintain documentation and tools related to multiple games.
The Data QC/QA Analyst will contribute to the growth of ESG Book's data products, ensuring high content quality and engaging in data analysis using tools such as Python and SQL. The role involves attention to detail, data visualization, and statistical analysis, while also supporting clients in enhancing their sustainability disclosures.
The Senior Data Analyst will interpret complex data sets, generate insights, and support strategic decision-making by collaborating with stakeholders, designing reports, conducting quantitative analyses, and presenting findings clearly. Responsibilities include ensuring data integrity and staying updated on analytical tools and best practices.
As a Senior Data Analyst, you will analyze large datasets, develop scalable analytical solutions, and collaborate with various teams to define and measure business metrics. You will utilize AWS analytics tools and present your findings to stakeholders, all while ensuring an understanding of human behavior through data insights.
The Junior Data Analyst/Data Engineer will work with language model APIs to generate synthetic datasets, automate data labeling, perform web scraping for data collection, and prepare documentation for datasets. Responsibilities include integrating APIs and managing data projects within the Conversational AI product area.
The Senior Analyst will design, implement, and support Enterprise Data Warehouse solutions, focusing on ETL integration, data models, and Power BI reporting. Key responsibilities include ensuring data integrity, managing BI and EDW lifecycle implementations, and collaborating with teams to fulfill reporting and analytics needs.
The Data and Reporting Lead will develop and implement a data strategy aligned with organizational goals, oversee reporting and analytics, ensure data accuracy, and collaborate with cross-functional teams. The role includes maintaining data infrastructure and ensuring compliance with data privacy laws.
The Senior Business Analytics Analyst will work with a global team to drive insights through data product development, improving efficiency and scalability. Responsibilities include building data structures, automating data tasks, optimizing workflows, and developing reporting solutions. Strong skills in SQL and Python, along with experience in AWS and Tableau, are required.
The role involves leading the Data & Analytics for the Lead to Cash process in a major SAP S/4HANA transformation at Mars Pet Nutrition. Responsibilities include data collection, cleaning, analysis, visualization, and modeling to support digital transformation and decision-making.
The Business Intelligence Analyst will enable data-driven discovery and insights for the company, using strong data analysis skills to power product analytics. Responsibilities include defining BI operations, leading analytics initiatives, and collaborating with various teams to deliver insights to stakeholders.
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