Top Data Analyst Jobs in Bangalore

Support People Analytics by processing and analyzing HCM data, maintaining dashboards, producing reports and visualizations, tracking headcount, and partnering with senior stakeholders to inform workforce planning and compensation decisions.

Analyze PB-scale trading, transactional, operational and customer data; build visualizations, ML models and experiments; translate findings into actionable recommendations for trading, operations, product and executives in a fast-paced environment.

Drive firmwide data governance and data quality programs: implement policies, lead end-to-end data testing, build metrics and reporting, enable remediation through analytics, and align global stakeholders to improve data accuracy and controls.

Ensure accuracy, completeness, and integrity of Salesforce customer and account data. Build automated validation and enrichment pipelines (SQL/Python), perform large-scale cleansing and deduplication (DemandTools, Data Loader), create monitoring dashboards (Power BI), enforce governance, and apply AI/LLMs to improve matching, classification, and anomaly detection so data never blocks Quote-to-Cash processes.

Ensure quality, consistency, and governance of enterprise master data through data analysis, reporting, and collaboration. Perform data mining, identify quality issues, develop dashboards, run system queries, maintain data, support supplier outreach, and meet SLAs while supporting business initiatives and process improvements.

Lead design and delivery of cloud-native data platforms (Integrated Data Store) for UAE operations. Provide technical leadership and mentoring, implement software and data engineering strategy, build and optimise ETL/ELT pipelines, ensure alignment with architecture, governance, security, and CI/CD practices, and use Terraform/AWS for infrastructure provisioning.

The Senior Data Analyst leads efforts in data migration, working with teams to manage, cleanse, and validate data for new systems, ensuring quality and timely project delivery.

The Sr Analyst will leverage BI tools to analyze and visualize data, identify trends, mentor users, and improve reporting processes.

The Senior Data Analyst will manage, improve, and cleanse operational and analytics databases while leading data migration projects and collaborating with various teams to ensure data integrity and quality.

Accenture seeks an Analyst for the Data & AI sector. Responsibilities include data management, analytics, and supporting technology solutions. Focus on innovation and collaboration with diverse teams.

Design and maintain dashboards and analytics pipelines using Tableau, Snowflake, and dbt. Perform advanced SQL and Python analyses to inform product decisions, collaborate with cross-functional teams, and explore AI/ML opportunities to enhance insights and drive product growth.

The Senior Data Analyst will unlock analytics across Okta by managing data lifecycles, developing scalable data models, and partnering with various teams to derive insights and optimize reporting capabilities.

The IDMC Data Quality Senior Analyst leads the design, implementation, and operation of data quality solutions within Informatica Cloud, collaborating with teams to ensure effective data quality rules and integration while managing operations and stakeholder relationships.

Lead end-to-end analytics and reporting for content-flow performance. Translate ambiguous business questions into hypotheses, build dashboards and KPI frameworks, perform deep-dive and statistical analyses, ensure data quality and governance, partner with stakeholders to drive operational improvements, coach junior analysts, and enable scalable, trusted reporting using SQL, modern analytics tooling, and big-data platforms.

Serve as the primary data expert for client planners: own dataset quality, produce executive-ready reports and visualizations, resolve data issues with source owners, automate manual processes, mentor junior analysts, and support ad-hoc regional planning requests.

Lead Salesforce reporting and analytics across EMEA: gather stakeholder requirements, deliver dashboards and insights, drive data governance and quality, collaborate with Salesforce/Azure/Data Lake teams, support Salesforce Data Cloud and AI initiatives, and promote self-service analytics and CRM adoption.

Lead Salesforce reporting and analytics for EMEA: gather stakeholder requirements, deliver dashboards and insights, drive data governance and quality, enable integrations with Azure/Data Lake and support Salesforce Data Cloud and AI initiatives to improve CRM adoption and decision-making.

Lead the Data Desk: triage and route L1/L2 requests, perform code reviews for junior analysts, drive automation and self-service dashboards, run daily operations and people development, and ensure data quality and SLA adherence.

Ensure accuracy, completeness, and governance of client and legal entity data. Translate business needs into data definitions and models, monitor and remediate data quality issues, coordinate with external data providers, support adoption of firm data platforms, maintain master data playbooks, train users, and track quality metrics to drive automation and process improvements across global teams.

Design, build, and maintain Qlik-based measurement and reporting solutions; support and maintain in-house tools; create quick tactical solutions; communicate with stakeholders; drive MIS improvements and collaborate cross-functionally, especially in health insurance contexts.

Manage requests for new ServiceNow reports and dashboards, resolve dashboard/reporting incidents, train users on dashboards, build executive KPIs and scorecards, engage stakeholders to gather requirements, and apply AI/Generative AI for reporting automation and insights.

Ensure accuracy, completeness, and consistency of product data by validating, cleansing, enriching, profiling, and monitoring quality. Maintain data dictionaries, lineage, metadata, governance policies, dashboards, and compliance. Collaborate with stakeholders, operations, and other data stewards; train users and gather feedback to improve data products.

Ensure accuracy, completeness, and consistency of product data by validating, cleansing, profiling, and enriching content. Define data quality standards, maintain data dictionaries and lineage, implement governance policies, build quality dashboards, collaborate with stakeholders and operations, train users, and ensure compliance with privacy and regulatory requirements.

Perform strategic analysis and storytelling by creating ROI reports and dashboards, conduct market research and forecasting, manage client analytics projects and scope/budget, automate processes using Python/VB scripting and AI workflows (prompt engineering), and oversee media valuation and quality indexing methodologies.

Analyze large datasets using SQL, build and maintain interactive Power BI/Tableau dashboards, translate business needs into data-driven recommendations, ensure data accuracy and consistency, optimize queries and reporting, and partner with stakeholders to support strategic decisions.