Top Data Analyst Jobs in Chennai

Design and operate Azure + Databricks lakehouse architectures; build batch and streaming ingestion pipelines with CI/CD, data quality, CDC, and observability; model curated datasets and semantic layers for Power BI; enforce security, compliance, and cost-optimization; collaborate with product owners and data stewards to certify enterprise datasets.

Lead SOX compliance and ICFR activities including internal controls design, risk assessment, audit coordination, governance reporting, operational effectiveness, and stakeholder communication.

As a Data Analyst, you'll manage distributor cases, maintain data connections with clients, and support data reporting needs while ensuring accuracy and timely responses.

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.

Gather and process data, conduct trend analyses, develop statistical models, and identify insights to support advertising and media planning efforts.

Support AGS Service business units by performing financial analysis, cost-of-ownership and should-cost modeling, ROI tracking, variance analysis, report automation, and data mapping. Deliver visualizations and automated reports using Tableau/PowerBI, query and process large datasets with SQL and Databricks, document workflows, and collaborate across teams to provide actionable insights for SBU and Marketing.

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.

Design and operate an Azure + Databricks lakehouse; build batch and streaming ingestion pipelines with CDC, automated data quality, CI/CD and observability; model curated datasets and semantic layers for Power BI; enforce security/compliance controls and cost optimization; collaborate with product owners and data stewards.

Design, build, and operate Azure/Databricks lakehouse pipelines (batch and streaming) with governance, data quality, observability, and cost controls. Model curated datasets and semantic layers in Power BI, manage PostgreSQL replication/CDC to lakehouse/Synapse, enforce security/compliance, and collaborate with product owners and data stewards to certify enterprise datasets.

Design, clean, analyze, and visualize data using SQL and Python; build Tableau dashboards; apply statistics and basic ML/DS concepts; follow software/data-engineering practices (version control, unit testing, high-performance code); work with structured and unstructured data and cloud environments.

Lead the data solutions strategy for PR&C PSP division, managing data initiatives, teams, and collaborating on analytics projects. Ensure compliance, governance, and optimize data services while communicating technical solutions to stakeholders.

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.

The ERP Data Analyst is responsible for managing data deliverables, supporting ERP integrations, ensuring data quality, and enabling analytics, focusing on enterprise data transformation.

The ERP Data Analyst will oversee ERP data management, integration, quality, and governance, supporting analytics and AI initiatives within a global data team.

Gather and analyze business and risk user requirements; produce functional designs and specifications for market risk systems; assess impacts; create and execute test plans (UAT, regression, simulation); support BAU including data sourcing, extraction, and analysis for Market and Liquidity Risk Data Store; manage delivery timelines.

The Data Analyst Manager will lead the data analytics team, develop data strategies, ensure data correctness, and coordinate with different departments for insights.

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.

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.

As a Product Data Analyst, you'll manage data analytics, capture user behavior, optimize user experience, and analyze user journeys across SaaS and On-premises offerings.

Perform exploratory analysis, build dashboards and reports (Tableau), write SQL queries, use Python for data cleaning and predictive models, collaborate with stakeholders, communicate insights, and maintain data models, pipelines, and quality checks.

Act as the bridge between Supplier Engagement and Ops to validate, classify and improve retailer/vendor data. Perform ETL, data cleaning, KPI reporting, RCA, query resolution, productivity initiatives, and onboarding support while maintaining SAP, FTP/MFT, and transactional data integrations for large, multi-format and TLog datasets.

Build forecasts and predictive models (time series, regression) for call center demand, analyze drivers of volume and handle time, support capacity planning at strategic/tactical/intraday levels, run site-level volume/capacity discussions, simulate initiative impacts, and deliver actionable insights to optimize workforce performance.

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