Top Data Analyst Jobs in Pune

Support liquidity analytics by monitoring and resolving issues in liquidity risk systems, performing data analysis and stored-procedure optimisation, developing proof-of-concept models, and creating dashboards (Tableau/Superset). Collaborate with technology and cross-functional teams, document processes, and contribute to continuous improvement of risk management tooling and visualisation.

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.

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.

The Data Analyst role focuses on data analysis, issue investigation, and building data pipelines to drive business recommendations and improvements through advanced analytics and visual reporting.

The role seeks experienced Data Analysts proficient in Microsoft BI Stack, SQL, and data modeling to develop reports and ensure data integrity.

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 large datasets to support agile financial crime testing, develop and run analytical test scripts (SQL, Python, SAS), create dashboards and reports, identify control gaps and emerging risks (AML, KYC, sanctions, fraud), support remediation with stakeholders, and contribute to automation and AI-enabled testing approaches.

Designs, builds, and operates scalable ETL/ELT data pipelines and curated datasets on Hadoop/cloud platforms using PySpark, Python, and SQL. Ensures data quality, governance, performance tuning, CI/CD for data workflows, and supports analytics and ML-ready datasets. Participates in on-call rotations and cross-functional stakeholder communication.

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

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.

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.

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.

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.

Lead analytics to improve player experience, engagement, retention, and monetization. Analyze player lifecycle, run cohort and funnel analyses, design and evaluate A/B tests, build dashboards, define product metrics, investigate KPI changes, and partner with product, marketing, engineering, and data teams to deliver data-driven recommendations and improve data quality.

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, build, and operate large-scale data lakehouse platforms and data products. Partner with business and engineering teams to develop data pipelines, models, and governance; participate in agile ceremonies, architectural discussions, and CI/CD practices to ensure scalability, performance, and regulatory compliance.

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.