Top Data Analyst Jobs in Pune

The Supply Chain Network Modeler develops and maintains quantitative network models, translating data into insights for strategic decision-making and collaborating with various stakeholders.

This role involves analyzing data using Python and SQL, focusing on data remediation for financial services clients.

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

This role involves analyzing data, optimizing processes, integrating data sources, and communicating insights to stakeholders while ensuring compliance and governance.

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.

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.

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

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.

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, 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.

Responsible for managing AMI business, ensuring implementation, O&M, and revenue. Key activities include stakeholder management, troubleshooting, monitoring progress, and ensuring compliance with guidelines and SLAs.

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.

Lead business and data analysis initiatives: define KPIs, improve processes, ensure data quality, translate requirements into technical specs, collaborate on Salesforce customizations, present insights, manage projects and UAT, and drive data governance.

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.

Lead the data solutions strategy for PR&C PSP division, managing data initiatives, teams, and collaborating on analytics projects. Ensure compliance, governance, and optimize data services while communicating technical solutions to stakeholders.

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 Data Analyst will support product marketing by analyzing performance metrics, developing dashboards, and providing insights for decision-making across Pall's marketing initiatives.

The Data Analyst supports product marketing initiatives by collecting and interpreting data, analyzing results, and providing actionable insights while collaborating with various teams to enhance product lifecycle management and pricing strategies.

The Data Analyst will support product marketing initiatives by analyzing data, tracking KPI progress, developing dashboards, and providing actionable insights to inform decision-making across business units.

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

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

Gather and analyze business and risk user requirements; produce functional designs and specifications for market risk systems; assess impacts; create and execute test plans (UAT, regression, simulation); support BAU including data sourcing, extraction, and analysis for Market and Liquidity Risk Data Store; manage delivery timelines.

The Data Analyst Manager will lead the data analytics team, develop data strategies, ensure data correctness, and coordinate with different departments for insights.

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.

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.