Top Analyst Jobs in Bengaluru

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.

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.

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 product analytics initiatives: define metrics, analyze user behavior and funnels, run A/B tests, build scalable analytics frameworks and dashboards, present insights to stakeholders, and mentor junior analysts to drive data-informed product decisions.

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.

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.

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.

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.

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.

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.

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, 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.

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.

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.

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.

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.

Lead strategic analytics and product delivery efforts: define business strategies, build and execute requirements, oversee multiple projects, partner cross-functionally, develop analytic/ML-driven solutions, and communicate findings to senior leadership to drive growth and operational improvements.

Lead analysis of healthcare and customer data to identify ROI and product value. Build and maintain dashboards, create interactive ROI models, conduct market and competitive research, and communicate insights to commercial, customer success, and product stakeholders.

The internship role involves data collection, analysis, reporting, and documentation to support SLA performance and Transformation benefits.

Own end-to-end subscription and product analytics: funnels, retention, churn, LTV, and revenue tracking. Build production dashboards and alerting, run exploratory analyses, validate A/B tests, document metrics and data schemas, and use AI tools to automate query generation, anomaly detection, and reporting.

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.

Analyze supply chain data using statistical methods and Big Data concepts; apply SCM and order-management knowledge (lead time, min/max, range-based planning); use CRM systems (SAP/Salesforce) and MS Office tools; build process maps, draw conclusions, make recommendations, prepare and present PPTs; short-term travel and immediate/local joiner required.

Perform statistical analysis and modeling on survey and planning data, manage and validate large datasets, produce reports and dashboards, support GIS and survey teams, and coordinate with planning stakeholders and government authorities. Kannada and English proficiency required.

Own data quality and root-cause analysis for prediction issues: detect anomalies, trace sources, fix processes, automate QA/reporting with Python and SQL, maintain dashboards, and partner with Data Science, Engineering, Product, and Commercial teams to improve prediction performance and customer-facing analytics.

Support data integrations and quality by checking ingested/system-generated data for anomalies, building and running QA checks and automations with Python and SQL, assisting on customer data queries and dashboards, and documenting findings to improve prediction reliability.