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.

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

Design, build, test, deploy, and maintain scalable Azure-based data pipelines and integrations for healthcare analytics. Lead data acquisition, ETL/ELT transformations, data quality detection and remediation, monitoring, documentation, and collaboration with analytics teams to enable BI and advanced analytics while ensuring security and reliability.

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

Work within the Electrification & Innovation data team to analyze customer behaviour and product performance, build dashboards and reporting, deliver analytics projects, and present insights to stakeholders to drive decisions and improve customer outcomes.

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.

Label and validate datasets (documents, images, video, audio) for document fraud, deepfake, PAD, and face recognition. Create bounding boxes, landmarks, time-based frame labels, and flag tampering. Document edge cases, review peer annotations, ensure quality standards, and collaborate with ML engineers to improve datasets and tools.

Develop, maintain, and publish Power BI reports and dashboards; extract, clean, and transform data; build tabular/multidimensional models and Azure data pipelines; perform ad-hoc analysis; manage SharePoint content; automate processes with Power Automate; create AI-driven analytics agents; ensure data quality, compliance, and support data-driven decision-making.

Hiring data professionals (Analyst, Engineer, Scientist) to extract, clean, model, and visualize data; build ETL/ELT pipelines, data lakes/warehouses; develop ML models; run A/B tests; provide insights via dashboards and cross-functional collaboration.

Partner with business lines and Risk/Compliance/Audit to design and maintain risk management frameworks, ensure regulatory compliance, identify process gaps, escalate risks, and act as liaison between business and lines of defense. Participate in projects to minimize losses from inadequate processes, systems, or human error.

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.

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.

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.

Analyze operational data and processes, identify bottlenecks, design scalable solutions, automate workflows and reporting with Python and SQL, build dashboards and monitoring, perform root-cause analysis, document logic and collaborate with product, engineering, and ops teams to improve automation and data quality.

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.

Build and maintain user tagging and profiling systems, analyze large-scale behavior data, perform feature engineering and exploratory analysis, support cross-functional teams for segmentation, monitor tag effectiveness, detect anomalies and fraud patterns, and improve data methodologies to enable risk control and personalized services.

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.

Design, develop, and support dashboards, reports, and data models; prepare and transform data; ensure data quality and governance; partner with stakeholders to deliver end-to-end analytics solutions and drive process improvement.

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.

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.