Top Analyst Jobs in Bengaluru

Support the Chief Science Officer by researching climate and ESG questions, aggregating and analyzing diverse datasets, developing data pipelines and standalone scripts, and contributing to sustainability models and decision-making tools. Responsibilities include data sanitization, statistical analysis, visualization, model evaluation, scientific programming, machine learning, and advanced regression. The role also involves building scalable data-science systems for a climate-tech platform.

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 mobile free-to-play game data to measure performance, understand player behavior, and generate actionable insights. Responsibilities include designing tracking and data pipelines, building Tableau and Power BI dashboards, conducting ad hoc and cohort analyses, supporting A/B experiments, ensuring data quality, and partnering with product, marketing, technology, and game development teams to optimize KPIs and player engagement.

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

Monitor and investigate transaction data to detect fraud, build dashboards and models to track risk, refine detection rules and ML models, conduct root-cause analyses, and collaborate with data engineering, product, and compliance to improve fraud prevention.

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.

Own end-to-end business analyses, financial models, forecasts, KPI dashboards, and executive recommendations. Structure ambiguous problems, test hypotheses, identify operational bottlenecks, improve processes, and coordinate special projects from kickoff through delivery. Work directly with founders and executives in a fully remote environment, communicating complex analysis clearly and driving insights into action.

Analyze operational data and processes, identify bottlenecks, design scalable solutions, automate workflows and reporting with Python and SQL, build dashboards and monitoring, perform root-cause analysis, document logic and collaborate with product, engineering, and ops teams to improve automation and data quality.

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.

Manage daily Data team operations, research and analyze datasets, build internal and external reports (including an annual Startup Ecosystem Ranking), and maintain/improve Python scripts and data infrastructure to deliver actionable insights.

Support research and analysis of climate impact frameworks, work with startup founders to define impact boundaries and metrics, and develop customized impact assessment tools in MS Excel. Coordinate with clients and partners, document meetings, track project actions, and assist with events, training sessions, and workshops.

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.

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.

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.

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.

Freelance CRO Analyst responsible for end-to-end A/B test setup, monitoring, and Bayesian analysis. Communicate insights to clients, forecast revenue lift, collaborate with designers/developers, ensure Shopify-aligned test setups, and participate in client and internal meetings.

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