Top Data Analyst Jobs in Pune

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.

Analyze and model data to produce reports, dashboards, and visualizations. Build and optimize SQL/Snowflake queries, aggregate data, and create BI reports in Domo. Identify data sources, improve data quality, and provide actionable insights to improve business performance.

Lead analysis of large datasets to improve data quality, lineage and controls; build automated data pipelines; apply advanced analytics and ML to surface insights; design interactive dashboards and automated reports; translate findings into actionable business recommendations and drive process improvements while coaching and influencing stakeholders.

Deliver and govern global product master data: create/maintain records, run cleansing and mass updates, enforce data quality and controls, support testing and system implementations, train users, and lead process improvement and automation projects to drive business value.

Analyze diverse data sources, build models and dashboards, perform descriptive/diagnostic analytics and data profiling, apply ML and AI tools to improve data quality, and deliver BI reports and governance guidance using SAP and Microsoft BI technologies.

Partnering across HR, technology, and third parties, deliver data pipelines, quality remediation, advanced analytics (including ML/AI), and interactive dashboards to enable data-driven HR transformation, governance, and decision-making.

Collect, analyze, and interpret large datasets to produce actionable insights. Build complex SQL queries and Excel-based reports, automate reporting, perform data transformations, monitor transaction flows for anomalies/fraud, and collaborate with cross-functional teams to ensure data accuracy and support business decisions.

Perform independent data analysis and prepare scalable, repeatable code and processes. Integrate disparate data sources, run and optimize metrics and reports, identify anomalies, collaborate with Data, Product, and Technology teams, and communicate findings and business impacts to stakeholders while ensuring data governance and compliance.

Support and evolve ITMA data platform and reporting: maintain MS SQL Server databases and Incorta, develop ETL and BI solutions, automate analytics, advise on data platform/BI tool choices, support production reports, and collaborate with IT leadership and business stakeholders to drive adoption and deliver value.

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.

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.

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.

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.

Lead data-driven testing and analytics for Financial Crime controls. Design and execute analytical test scripts (SQL, Python, SAS), analyse large datasets, create dashboards, advise on remediation, drive automation and AI-enabled testing, and partner with Compliance, Technology, Risk and Operations to strengthen control oversight.

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.

Design, build, and govern HSW data solutions and analytics; deploy AI and automation into HSW processes; produce Power BI dashboards and regular reports; support Cority operations; drive data strategy, governance, and actionable insights to improve safety and operations.

Drive end-to-end product analytics for user growth and product strategy: define metrics, design and analyze A/B tests, handle PB-scale behavioral and transactional data, build dashboards, predictive models, and deliver actionable insights to product and business stakeholders.

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.

Develop and maintain enterprise Power BI dashboards and semantic models, perform complex SQL data analysis, create executive reports and visualizations, ensure data quality and governance, collaborate with business stakeholders to deliver analytics solutions, and support predictive analytics initiatives to inform strategic decisions.

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.

Develop and maintain enterprise Power BI reports, dashboards, and semantic models. Perform complex SQL-based analyses, validate and cleanse data, create executive visualizations, and collaborate with stakeholders to deliver data-driven recommendations that support business strategy and predictive analytics initiatives.

The role involves building scalable data models, automating reporting, implementing metrics, developing dashboards, and ensuring data quality across teams globally.