Top Data Analyst Jobs in Chennai

Analyze large datasets to identify trends and deliver actionable insights; design and monitor KPIs; build and maintain dashboards and reporting frameworks; conduct ad hoc analyses; ensure data quality and support reporting infrastructure in partnership with product and business teams.

Design, develop, and support analytics solutions including dashboards, reports, and data models. Clean and transform data, ensure data quality and governance, partner with stakeholders to gather requirements, apply AI prompting/tools to accelerate delivery, and implement process and change improvements for scalable, production-ready analytics.

Senior Data Analyst role based in Chennai or Bangalore requiring strong SQL and visualization skills (Power BI or Tableau). 8+ years experience required. Python and PowerAutomate familiarity preferred. Responsible for analyzing data, building dashboards, and supporting reporting and automation.

Seeking a Data Analyst with 6-9 years' experience in Python-driven data analysis or automation. Must be strong in Python programming, basic AWS, shell scripting, and Linux to build analysis scripts, automate workflows, and operate in Linux/AWS environments.

Conduct consultative analytics and deliver executive-level recommendations and ad hoc analyses to business and finance partners. Build self-service dashboards and presentations, perform predictive modeling and time-series forecasting (preferably for workforce optimization), provide cost-benefit analyses for investments, and streamline processes while communicating insights to senior stakeholders.

Perform consultative analytics and predictive modeling to produce executive-level recommendations and ad-hoc analyses. Build dashboards and presentations for senior management, support finance and business partners with cost-benefit and workforce optimization analyses, streamline processes, and communicate insights clearly to influence decision-making.

Early-career Data Analyst who designs and owns core analytics, dashboards, and data pipelines. Analyze transaction, customer, and credit data to inform credit, fraud, AML, portfolio performance, unit economics, and growth. Build automations and workflows with SQL and Python, partner with cross-functional teams, and own compliance reporting and durable analytical systems.

Early-career role analyzing PB-scale on-chain, transactional and customer data. Perform data engineering, ETL, querying, build visualizations and ML models, translate insights for teams, manage reporting environment, secure confidential data, and troubleshoot reports/databases.

Analyze high-volume data to identify patterns and insights, build Power BI visualizations, configure Denodo metadata, integrate Azure services and ServiceNow data, perform ETL and data warehousing tasks, collaborate with stakeholders, troubleshoot issues, and support data-driven strategies and automation.

The Senior Data Analyst will define source data, create data mapping, report inconsistencies, assist with data migration, and manage stakeholder expectations while delivering insights in financial services.

The Data Analyst I role involves analyzing data to solve business problems, supporting business intelligence initiatives, and developing Power BI solutions, while collaborating with various teams and stakeholders.

Evaluate, acquire, and manage U.S. healthcare datasets; collaborate with U.S. stakeholders and vendors to define requirements; perform data profiling, validation, and risk assessments; document dataset summaries and SOPs to support data-driven commercial decisions.

Collaborate with game teams to deliver actionable insights that increase user acquisition, engagement, and monetization. Design and instrument analytics events and queries, run exploratory analyses and competitor analysis, generate reports, and design/interpret A/B tests to evaluate game features and offers.

The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.

Lead reporting and metric development to measure customer health and company performance, enable self-service analytics, provide ad-hoc query support, partner with stakeholders, document data, mentor peers, and help establish analytics culture and processes.

Build reports and metrics to measure customer health and company performance, support stakeholders with ad hoc queries, enable self-serve analytics, document data, mentor peers, and shape analytics team processes.

The Data Analyst prepares, analyzes, and validates data, applying statistical methods and visualization techniques to derive insights and support business objectives. Communicates findings effectively and collaborates with Data Engineers for model and dashboard implementation.

The role involves data analytics with a focus on querying large data sets, visualization using Tableau, and applying quantitative skills, predominantly in the FMCG and Food & Distribution sectors.

Lead design-for-reliability projects for high-voltage products using DOE, Weibull, RBD and other statistical methods; develop reliability monitoring, data governance, and AI automation; build structured analysis tools across SAP and internal databases; perform reliability prediction, risk assessments, and ensure regulatory compliance.

Design, build, and maintain cross-vendor market data pipelines and QA processes. Investigate complex data issues, handle escalations, collaborate with product and engineering via JIRA, and ensure data accuracy for equities fundamentals, estimates, and market data.

Own credit approval and data quality for Order-to-Cash: review orders, assess credit risk, reconcile accounts, validate business records, run SOX/compliance testing, lead root-cause analysis and process improvements, support bulk data projects and documentation updates.

The Senior Director Analyst develops insights on data management platforms, leads the research agenda, engages clients, and mentors junior analysts, utilizing extensive expertise in data management and AI solutions.

The Senior Analyst will own Pricing Tools, manage data governance, drive pricing strategy decisions, execute audits, and enhance operational effectiveness.

The Senior Data Analyst will leverage data to inform strategic decisions, analyze complex datasets, develop predictive models, and communicate insights to stakeholders.

Analyze PB-scale trading, transactional, operational and customer data; build visualizations, ML models and experiments; translate findings into actionable recommendations for trading, operations, product and executives in a fast-paced environment.