Top Data Analyst Jobs in Bangalore

Lead analytics partner for business teams: build dashboards in Tableau, run complex SQL analyses, collaborate with Data Engineering on the data warehouse and dbt/Snowflake pipelines, establish data governance and SLAs, improve analytics performance, and mentor junior analysts.

Lead audit and analysis of identity platform data: collect, clean, model and analyze data from multiple sources; build analytics models in AWS Redshift/QuickSight; create visualizations and reports; communicate findings to technical and non-technical stakeholders; support data governance, security, and operational efficiency.

Lead end-to-end Informatica MDM implementations and architecture for master data (customer, vendor, product), oversee SDLC, performance tuning, ETL and DB work, ensure data quality/governance, integrate with services, support deployments and cross-team collaboration to deliver actionable data solutions.

Support Sales & Marketing insights by extracting and validating data from Power BI and Excel, performing foundational analysis, and developing executive-ready PowerPoint deliverables. Assist senior analysts with deeper-dive analyses, light report modifications, and ad hoc requests to ensure timely, accurate reporting for leadership.

As a Senior Data Analyst, you will conduct data analysis, assist in forecasting, and translate business needs into analytical frameworks. Collaboration with various teams is crucial to drive clarity and effective communication.

Lead end-to-end delivery of scalable analytics solutions: translate stakeholder needs, design semantic models and dashboards (Power BI/Tableau), contribute to solution architecture, integrate AI/automation, and maintain documentation and governance.

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.

Support AGS Service business units by performing financial analysis, cost-of-ownership and should-cost modeling, ROI tracking, variance analysis, report automation, and data mapping. Deliver visualizations and automated reports using Tableau/PowerBI, query and process large datasets with SQL and Databricks, document workflows, and collaborate across teams to provide actionable insights for SBU and Marketing.

The Business Data Analyst will bridge business needs with data solutions, perform data analysis and visualization, and support team collaboration to drive insights and metrics.

Design and operate an Azure + Databricks lakehouse; build batch and streaming ingestion pipelines with CDC, automated data quality, CI/CD and observability; model curated datasets and semantic layers for Power BI; enforce security/compliance controls and cost optimization; collaborate with product owners and data stewards.

Design, build, and operate Azure/Databricks lakehouse pipelines (batch and streaming) with governance, data quality, observability, and cost controls. Model curated datasets and semantic layers in Power BI, manage PostgreSQL replication/CDC to lakehouse/Synapse, enforce security/compliance, and collaborate with product owners and data stewards to certify enterprise datasets.

The Analyst, Data Interchange and Development is responsible for maintaining EDI services, overseeing B2B processes, facilitating system implementation, and providing technical support. The role involves liaising between users and IT, training staff, and ensuring system reliability.

Lead and manage a team of data analysts, oversee analytics projects, engage stakeholders, and drive automation initiatives to enhance efficiency in healthcare marketing research.

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

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.

The Data Analyst will analyze product performance, user behavior, and growth opportunities while collaborating with cross-functional teams to support decision-making. Responsibilities include creating dashboards, conducting A/B tests, and analyzing customer data for improved engagement and retention.

The Sr Advanced Data Analyst will validate and enrich global project data for sales optimization, ensuring data quality and actionable insights for sales teams.

The Principal Data Analyst will lead analytics for the Looney Tunes game, translating complex data into insights for product strategy, feature design, revenue optimization, and mentoring other analysts.

As a Staff Data Analyst, you'll lead data strategy and governance, manage ETL processes, leverage AI tools for insights, support data-driven decision-making, and mentor analysts.

The Data Analyst Manager will lead the data analytics team, develop data strategies, ensure data correctness, and coordinate with different departments for insights.

The Senior Network Data Analyst will design and maintain data architecture, transform legacy data into standardized models, resolve anomalies, and support automation pipelines.

The Functional Analyst - Data will manage data extraction, validation, and organization from legacy HR systems, ensuring the integrity of archived data and documenting functional requirements while collaborating with technical teams.

The Data Analyst Lead will manage critical data across Revenue and Operations, design reports, analyze performance metrics, automate workflows, and lead a team to drive data-driven decision making.

Design, build, and maintain cross-vendor market data pipelines and QA processes. Investigate complex data issues, handle escalations, collaborate with product and engineering via JIRA, and ensure data accuracy for equities fundamentals, estimates, and market data.

The Data Analyst Supervisor leads AI-enabled analytics and automation for Internal Audit, ensuring audit execution through data analysis, automation solutions, and stakeholder engagement. Responsibilities include designing audit analytics, testing routines, developing dashboards, and facilitating knowledge sharing within the audit team.