Top Analyst Jobs in Bengaluru

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

Provide advanced technical support and troubleshooting for Azure-based IoT and data platforms. Manage data streaming and Enterprise Data Lake environments, build and maintain ADF data workflows, support Databricks and Synapse analytics, perform SQL/SSIS work, and develop Power BI reports to enable data-driven decisions.

Gather and document finance business requirements, translate them into functional specifications, collaborate with Data Engineering on Databricks, perform data analysis and validation, prepare BRD/FRD and user stories, run stakeholder meetings, support UAT, and present insights to enable 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 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.

Validate end-to-end product data migration into Akeneo PIM from ERP and Cloudinary, verify Akeneo configuration and data governance, inspect exported XML for SFCC schema compliance, monitor SFCC import jobs, and triage defects between source data and transformation bugs.

Lead AI-augmented analysis and client intelligence: build automated workflows, own dashboards, author automation BRDs, manage data and field BA teams, run QBRs, manage customisation pipeline, and drive upsell documentation and delivery for enterprise clients.

Lead end-to-end analytics by building and optimizing SQL data models, dashboards, and KPI frameworks. Perform deep-dive analyses on revenue, customer behavior, and operations, deliver actionable insights, and partner with product, growth, and leadership to drive data-informed decisions while ensuring data accuracy and reporting reliability.

Analyze client datasets, build analytical frameworks, validate data quality, design BI dashboards and reports (Zoho Analytics, Power BI, Tableau), lead WBRs/QBRs, communicate insights to clients, map processes, identify revenue opportunities, support risk management, and enable internal stakeholders with standardized reporting.

The Senior Web3 Data Analyst will manage web3 analytics, monitor on-chain activity, analyze competitor metrics, and deliver insights for product and leadership teams.

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.

Act as liaison between business and engineering to gather and document requirements, produce BRDs/FRDs and user stories, design and implement scalable data solutions using SQL and Snowflake, participate in SDLC and UAT, and collaborate with product, data, and healthcare operations to ensure release readiness.

Design, implement, and analyze marketing campaigns using Python and SQL. Extract and manage data, build performance reports and visualizations, provide actionable insights to optimize campaigns, collaborate with cross-functional teams, and communicate findings to clients. Leverage AWS services for data processing and reporting.

Analyze retail data using Python, SQL, and AWS Redshift; develop ML models and Streamlit dashboards; communicate insights to clients; solve problems and support analytics delivery in-office in Bangalore.

Design and analyze A/B tests, segment customers, measure campaign performance, build dashboards, and use SFMC/MCP, Google Analytics, SQL, and Excel to drive personalization and marketing recommendations.

Perform campaign design, execution, and performance analysis using Python, SQL and ML. Manage and extract data, build reports and insights, collaborate cross-functionally, and present recommendations to clients to optimize marketing campaigns.

Perform data extraction, cleaning, validation, analysis, and visualization to support business decisions. Build and maintain dashboards and reports, apply statistical techniques to identify trends, assist with predictive models, and present insights to stakeholders. Collaborate with cross-functional teams and support pharma/healthcare analytics and regulatory data standards when applicable.

Develop and maintain pricing and profitability models, forecast margins, analyze price sensitivity/elasticity and promotional impact, present insights to stakeholders, implement pricing changes, and lead pricing projects. Use marketing mix modelling to assess marketing impact and optimize spend.

Perform complex data analysis on large datasets using Python and PySpark; build and maintain scalable data pipelines and ETL processes; create reports and visualizations; collaborate with cross-functional teams to deliver data-driven insights; assist with predictive modeling and automate data tasks.

Analyze customer behavior and campaign performance to generate insights, build scalable data pipelines and automated analytics using SQL, Python, and PySpark, support personalized campaign execution, and collaborate with marketing stakeholders to drive revenue and improve customer experience.

Analyze customer behavior and campaign performance to generate actionable insights. Build and maintain scalable data pipelines and automated analytics workflows using SQL, Python, and PySpark. Support campaign planning, audience segmentation, execution tracking, and stakeholder communication to optimize engagement and ROI.

Design, develop, and automate BI reports, dashboards, and data models for financial and regulatory decision-making. Own RBI and statutory compliance reporting, optimize complex SQL queries, ensure data quality and governance, and collaborate with Finance, Risk, Compliance, and Tech teams. Drive process automation and explore AI/ML enhancements to improve reporting, anomaly detection, and analytics.

Lead analytics for loyalty and agri-tech: design dashboards, build ETL pipelines, perform segmentation and predictive modeling, ensure data quality and governance, and mentor junior analysts while partnering with product, marketing, sales and ops.

The Organic Growth Analyst will support SEO and content strategies for B2B SaaS clients, conduct analyses, and help track performance.

Analyze user behavior and product performance to deliver actionable insights, driving product decisions. Collaborate with cross-functional teams and create data visualizations to influence product strategy.