Top Data Analyst Jobs in Bangalore

The Lead Data Analyst drives insights and analytical outcomes in healthcare using Azure Databricks, mentoring analysts, and managing data pipelines.

Perform gap analyses across trading data from multiple source systems, identify discrepancies, build automated reports using Python and SQL, create visualizations (Power BI or Python libraries), present findings to stakeholders, and coordinate with upstream/downstream teams to implement logic and document requirements.

The Data Transformation Analyst is responsible for capturing and maintaining data related to engineering standards and regulatory compliance, ensuring high quality and timeliness.

Lead companywide data management and governance initiatives to ensure data quality, integrity, and regulatory compliance. Oversee data quality metrics, audits, lineage, metadata, and MDM; recommend remediation and assess new data sources. Lead projects, mentor staff, engage stakeholders, develop executive reporting and dashboards, and drive automation and process improvements to enhance governance and operational efficiency.

Lead Data Management Analyst drives companywide data governance and quality initiatives, oversees regulatory reporting, evaluates data quality metrics, identifies and remediates integrity issues, leads project teams, mentors staff, manages stakeholders, and develops executive reporting and automation to improve data governance and operational efficiency.

Analyze large healthcare datasets to extract insights, build data models, reports and dashboards, ensure data quality, collaborate with cross-functional teams, and present findings to stakeholders.

Lead data governance and issue remediation activities across the enterprise. Support audit and regulatory exam readiness, evaluate data quality, oversee control execution, mentor staff, and coordinate remediation and governance with senior stakeholders to ensure compliant, defensible outcomes.

Lead and support data quality, governance, and metadata initiatives; analyze and test data controls; drive remediation and audit/exam readiness; coordinate stakeholders, monitor issue portfolios, and recommend improvements to ensure compliant, documented, and sustainable data management outcomes.

Design and build customer-facing Power BI dashboards, develop and track KPIs, perform advanced SQL-driven analysis and data mining, partner with Customer Success and Data Science to standardize value-engineering frameworks, and translate data into actionable insights that demonstrate measurable customer ROI.

Lead integration of AI, automation, and digital tools into HSW processes. Own HSW data strategy, governance, and roadmap. Deploy and manage Cority, AI/ML tools, Power BI dashboards, and cloud analytics to deliver insights, predictive models, and improved safety outcomes. Partner cross-functionally to ensure ethical, secure, and compliant deployment, drive adoption, and measure impact.

As a Supply Chain Data Analyst, you will analyze complex datasets, create dashboards, and deliver insights to support data-driven decision-making across the supply chain.

Design, develop, and support analytics solutions including dashboards, reports, and data models. Clean and transform data, ensure data quality and governance, partner with stakeholders to gather requirements, apply AI prompting/tools to accelerate delivery, and implement process and change improvements for scalable, production-ready analytics.

Build and maintain interactive Power BI/Tableau dashboards, analyze large datasets using SQL, translate business requirements into data-driven recommendations, ensure data accuracy and consistency, optimize queries and reporting processes, and collaborate with stakeholders to support strategic decision-making.

Analyze large financial and operational datasets, build and maintain dashboards and reports, write efficient SQL queries, perform deep-dive analyses, automate workflows with Python, ensure data quality, and partner with Finance, Product, Operations, and Data Engineering to surface actionable business insights.

Coordinate data uploads into SuccessFactors, manage organizational changes, analyze and validate data for system updates, and support compliance with data governance.

The Senior Market Data Analyst will manage market data inventory, process invoices, assist in documentation, and contribute to data analysis while ensuring exceptional client service.

The Market Data Operations Analyst will manage market data inventory, process invoices, support data analysis, and contribute to process improvements while ensuring exceptional client service.

The role involves building scalable data models, automating reporting, implementing metrics, developing dashboards, and ensuring data quality across teams globally.

Seeking a PLM Data Analyst to analyze and transform data from PLM systems, develop dashboards and data insights, and improve processes. Requires collaboration with engineering and IT teams.

Manage and maintain Snowflake pricing databases and SQL queries, perform market and competitive pricing analysis, use PriceFx AI and optimization tools to meet pricing KPIs, maintain pricing operations tools, and manage competitor data and web‑scraping pipelines while collaborating with enterprise data teams.

The role involves analyzing transaction and risk data, generating insights, translating them into operational decisions, and evaluating risk controls. The Data Analyst collaborates with various teams to implement data-driven improvements and build dashboards for decision-making.

Support cross-functional teams by collecting, cleaning, and analyzing large datasets; perform EDA; build and maintain dashboards and reports; assist with data pipelines and API integrations; apply statistical methods to solve business problems; handle ad hoc requests and present findings to technical and business audiences while experimenting with AI tools.

Senior HR Data Analyst responsible for designing and maintaining HR dashboards, conducting statistical analyses, building HR data models, ensuring data governance, and delivering actionable workforce insights to HR leadership to optimize recruitment, retention, compensation, and talent management.

Assess and document data quality across Claims and Underwriting, implement and monitor data quality rules and KPIs, maintain lineage and catalog, conduct root-cause analyses, prepare dashboards and reports, and support rollout of enterprise data governance, stewardship, and training.

Lead analytics to improve player experience, engagement, retention, and monetization. Analyze player lifecycle, run cohort and funnel analyses, design and evaluate A/B tests, build dashboards, define product metrics, investigate KPI changes, and partner with product, marketing, engineering, and data teams to deliver data-driven recommendations and improve data quality.