Top Data Analyst Jobs in Bengaluru

The role involves testing new product features, documenting workflows and insights, and collaborating with product teams to create clear user documentation.

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 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.

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

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

Analyze end-to-end cellular network performance, design scalable data pipelines, develop analytics to extract application-layer QoE insights, and collaborate with network operators on data collection and optimization.

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.

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

The Senior Data Analyst will create dashboards, analyze data, and partner with stakeholders to drive data-informed decisions, ensuring data accuracy and quality control.

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 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.

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.