Top Analyst Jobs in Bengaluru

The Risk Analyst will manage risk and fraud metrics, apply analytics to develop controls, optimize strategies, and build data science models.

The role involves analyzing business IT needs, providing SAP Finance training, developing reports, and supporting financial processes while collaborating on system issues and integrations.

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.

Lead analyst overseeing production and analysis for marketing and client materials. Collaborate with senior management and improve reporting timelines.

The Business Analyst will ensure data accuracy, reconcile data in the Arena Data Warehouse, and work with teams to rectify errors.

The Product Analyst will manage company metrics, define measurable outcomes, support hypothesis-driven development, and collaborate with product teams on data-driven decisions.

The Business Analyst will analyze organizational information needs, design computer programs, recommend system modifications, and maintain user documentation while ensuring project milestones are met.

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

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 Analyst will analyze user acquisition data, build frameworks for high-value users, and optimize metrics for growth and retention.

The Ecommerce Product Catalog & Research Analyst manages product data integrity across platforms, optimizes listings for SEO, and conducts performance research.

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

Analyze and visualize product data, design and evaluate experiments, define and track product metrics, build dashboards, and communicate insights to inform product strategy and support data-driven decisions.

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.

The Business Analyst will analyze complex datasets using SQL, create visualizations in Tableau, and utilize R and Python for statistical modeling to support business strategies.

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.

The Market Research Analyst will conduct market research, analyze industry trends and consumer behavior, and develop insights for investment decisions.

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 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.

Collaborate with teams to analyze data, set up dashboards, conduct A/B tests, optimize product funnels, and provide actionable insights.

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