Top Data Analyst Jobs in Bengaluru

The Portfolio Data Analyst supports client onboarding and analyzes financial data, collaborating with various teams to enhance data solutions.

Own analytics across HubSpot, SQL, and BI to provide sales, marketing, and finance with real-time revenue insights. Responsibilities include building metrics, ensuring data quality, creating reports, and automating workflows.

The Product Data Analyst will work on the AI-powered spend management platform, contributing insights and analytics to optimize finance operations.

The Business Data Analyst transforms marketing performance data into actionable insights, ensuring clarity of metrics across client engagements to drive informed decisions and optimize strategies.

The Data Analyst will oversee data processes, ensure data quality, implement automation, collaborate with cross-functional teams, and manage compliance issues.

The Data Analyst will manage and analyze large financial datasets, design data quality frameworks, perform data validation, and deliver insights through dashboards and reports while collaborating with various stakeholders.

Track, reconcile, and analyze user and system data across brands using VWO, GA4, Microsoft Clarity, and backend systems. Identify friction, validate experiments (A/B tests), propose tracking and UX improvements, and produce reports and dashboards to support QA, Dev, and Marketing.

Lead end-to-end research and data analysis to generate decision-ready insights across business, product, marketing, and strategy. Build executive dashboards, run experimentation analysis, define data governance, mentor analysts, and support strategic initiatives like pricing, market entry, and M&A.

As the first Data Analyst, you'll build data infrastructure, analyze product performance, create reports, and collaborate across teams to drive data-driven decisions.

The Fraud & Risk Data Analyst analyzes transaction data to detect fraud, develop monitoring tools, conduct investigations, and collaborate with teams on deterrent strategies.

As a Senior Data Analyst, you'll analyze user behavior, content performance, and retention, partnering with teams to influence content strategy. Your role includes designing experiments and providing actionable insights based on data analysis.

The Research Analyst will enrich and maintain data accuracy on the Findem platform, perform internet and internal data research, and analyze results while writing Python scripts to query MongoDB.

Perform AML-focused data analysis: interpret large datasets, conduct gap analyses and model validation, lead UAT, partner with data engineering, monitor TM rule performance, produce reports, and provide training and documentation for AML systems.

Support records and information management by tagging/indexing records, assisting digitization and migrations, performing quality reviews, applying retention codes, tracking legal holds, fulfilling record requests, and reconciling inventories and vendor documents.

The role involves supporting and maintaining the Azure Data Platform by managing incidents, monitoring performance, and optimizing database operations. Responsibilities include troubleshooting ADF, Synapse Analytics, and ensuring data security compliance.

The Junior Data Analyst will work with implementation teams to create analytical dashboards, validate data, and mentor junior analysts, while translating client requirements into actionable insights.