Top Analyst Jobs in Bengaluru

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.

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

The Quantitative Analyst will develop, model, and backtest index strategies using Python, collaborating with teams to automate calculations and financial engines.

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.

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.

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.

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.

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.

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.

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.

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

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.

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 Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.

The Business Analyst will bridge the gap between technical teams and stakeholders, facilitating requirements gathering, analysis, and documentation for IAM solutions.