Top Data Analyst Jobs in Bengaluru

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 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.

Build dashboards, KPI tracking systems, automated reports, and ad hoc analyses for collections, payments, risk, finance, and customer operations. Ensure data quality through audits, reconciliation, schema documentation, and lineage tracking. Collaborate with Engineering on ingestion pipelines, data warehouse design, ETL improvements, query optimization, and scalability. Communicate actionable insights to technical and non-technical stakeholders.

Own end-to-end analytics initiatives, including data extraction, transformation, validation, modeling, dashboard development, KPI definition, and stakeholder presentations. Analyze complex datasets using SQL and Python, build Power BI or Tableau reports, automate recurring workflows, and deliver actionable business insights. The role also involves data quality monitoring, cross-functional collaboration, client engagement, ad-hoc analysis, and mentoring junior analysts.

Transforms complex datasets into strategic insights supporting revenue growth and executive decision-making. Responsibilities include defining KPIs, building analytical models, creating dashboards and reports, analyzing customer behavior and revenue, identifying risks and opportunities, conducting cohort, retention, funnel, and forecasting analyses, and partnering with business stakeholders and data engineering teams.

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.

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.

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.

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.

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 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.

Lead marketing measurement: own attribution, incrementality testing, and media mix modeling. Design and analyze experiments, build repeatable templates and self-serve analytics, translate results into budget and growth recommendations, ensure data integrity, and embed AI tools into analysis workflows to measure pipeline and revenue impact.