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.

Perform gap analyses across trading data from multiple source systems, identify discrepancies, build automated reports using Python and SQL, create visualizations (Power BI or Python libraries), present findings to stakeholders, and coordinate with upstream/downstream teams to implement logic and document requirements.

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

Support and modernize a metadata-driven financial reporting data integration platform. Perform Oracle PL/SQL engineering, ensure production discipline and data validation, debug transformation issues, and assist in migration planning to Databricks/PySpark. Collaborate with operations and document rerun-safe processes.

Maintain and modernize a metadata-driven financial reporting data integration platform that ingests 200M+ rows/day using Oracle PL/SQL. Ensure production discipline (rerun safety, parity validation, ops handoff), validate data results, debug transformations, and support a potential migration to Databricks/PySpark. Collaborate with banking subject-matter experts and translate legacy dynamic SQL/COBOL logic to Python for future platform migration.

Design, build, and operate scalable, cloud-native data pipelines, platforms, and production backend services. Implement data models, orchestration (e.g., Airflow), CI/CD, and IaC practices. Ensure reliability, performance, monitoring, and mentor junior engineers while collaborating on architecture and deployments.

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 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, 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.

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

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 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.

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

Support design, development and rollout of data governance capabilities. Gather requirements, write user stories, prioritize backlog, analyze metadata and onboard datasets to governance platforms like Soda and Collibra.

Ensure reliability, scalability, and performance of the enterprise data platform. Automate IaC, CI/CD, and deployments; manage observability, governance, FinOps, and incident response; collaborate with engineering and analytics teams to improve platform reliability and developer experience.

Develop and maintain KPI dashboards (Power BI), analyze engineering performance data, collaborate with engineering and operations to define metrics, ensure data extraction and validation from ERP/PLM systems, automate reporting, and produce executive-level reports to drive continuous improvement.

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.

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.

Owner of company-wide reporting and analytics for Growth, Marketing, Product, Finance and Operations. Build and maintain dashboards, automated reports and data pipelines (dbt), ensure data quality and governance, run growth and product analyses (CAC, ROAS, LTV, retention), support A/B testing and ad-hoc decision support, leverage AI for automation, and coordinate VAs on data tasks.

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.

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.

Perform full-stack on-chain and product analytics: query on-chain data, profile ecosystem actors, benchmark protocols, define KPIs, build dashboards, and translate findings into actionable briefs for strategy, BD, product, and growth teams.

Design, develop, and support analytics solutions, dashboards, reports, and data models. Prepare and transform data, ensure data quality and governance, collaborate with stakeholders, leverage AI to accelerate delivery, and drive process improvements to enable data-driven decisions.

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