Top Data Analyst Jobs in Pune

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

The Data Analyst will collaborate with business stakeholders to define requirements for data solutions, guide implementation, and ensure data quality aligned with business strategies.

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.

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.

Perform data quality investigations, build and automate data pipelines, apply advanced analytics and ML, create dashboards and reports, and translate findings into actionable business recommendations while improving governance, lineage, and controls across HR transformation programmes.

Develop and maintain data and records governance frameworks, monitor data quality and compliance, implement records management programs, support NFRR reporting, analyse datasets to resolve data issues, and provide guidance and training across the organisation while partnering with business and technology stakeholders.

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.

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.

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.

Perform Salesforce data analysis and integration focused on CPQ and billing. Conduct data gap analysis, compare and standardize large datasets, and support enterprise CPQ design for subscriptions, order orchestration, invoicing, revenue recognition, taxation, payments, and general ledger integration.

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.

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.

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.