Top Analyst Jobs in Bangalore

Analyze business data, build and maintain business models, provide actionable insights and reports, collaborate with cross-functional teams, monitor performance, and recommend efficiency improvements to support strategic decision-making.

Analyze and interpret large healthcare datasets, build and maintain data pipelines and structures, collaborate with cross-functional teams to deliver actionable insights, and document data processes and analyses.

This role involves promoting People Analytics and implementing reporting solutions in Workday, collaborating with stakeholders, and training HR team members on reporting tools.

Designs, develops, and maintains business intelligence reports, dashboards, metrics, analyses, and data cubes used for business decisions. Ensures reporting accuracy, timeliness, and confidentiality; extracts data from multiple systems; analyzes reporting needs; supports data warehouse development; and trains users on BI tools and reporting solutions.

Drive Trust & Safety analytics and adversarial testing for AI-powered Microsoft products. Identify vulnerabilities, simulate attacks, create adversarial datasets, perform labeling and evaluations, generate insights, and collaborate with Engineering, Data Science, Policy, and Operations to improve model robustness, risk mitigation, and operational defenses.

Analyze large healthcare datasets, build and implement quantitative models, perform statistical analyses, ensure data accuracy, collaborate with cross-functional teams, and provide actionable insights to improve healthcare delivery.

Build and implement governed finance data products using data warehouses, data mesh architectures, star schemas, facts, and dimensions. Develop advanced BI reports, dashboards, visualizations, and analytics narratives across tools such as Power BI, Looker, and Tableau. Apply agentic AI, semantic layers, and RAG to enterprise data for contextualized insights. Support finance, accounting, FP&A, and controller functions, with potential work involving NetSuite, Boomi, or Salesforce data platforms.

The Senior Business Analyst drives operational improvements and enhancements for the Ecolab Everyday product suite, ensuring stakeholder alignment and quality requirements across global teams.

Design and build reporting and visualization solutions using Qlik (View/Sense), maintain in-house tools, develop quick tactical MIS solutions, and communicate results to stakeholders. Support and improve existing data tools, produce ad-hoc analyses, and collaborate with internal/external customers in a health insurance context.

Lead KYC pipeline Run-the-Bank and BAU operations, manage team allocation and query resolution, monitor SLAs and exceptions, and drive change initiatives. Collaborate with stakeholders to translate business logic into data algorithms. Develop and optimize T-SQL stored procedures, functions, triggers, and views for pipeline reporting and analytics, while supporting future-state data strategies, governance, and process improvement.

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.

Build AI-enhanced Tableau dashboards and BI reports using Snowflake, SQL, and Python. Partner with stakeholders to define metrics and requirements, automate recurring analytics workflows, and deliver actionable insights. Apply AI/ML capabilities for trend detection, anomaly identification, sentiment analysis, and natural-language summaries. Establish best practices for AI-assisted BI development, collaborate cross-functionally, and support CX BI frameworks while maintaining data quality and timely delivery.

Analyzes sales execution KPIs, brand performance, market trends, and large commercial datasets. Develops recurring reports, validates and maintains data sources, delivers ad hoc analysis, and translates findings into actionable recommendations. Collaborates with Sales, Marketing, Finance, and other stakeholders to support commercial decisions, improve data quality, optimize reporting, and advance enterprise analytics initiatives.

Lead data strategy and governance for Coupang’s Retail and Selection team. Architect ETL pipelines, improve data integrity, and use SQL, programming, LLMs, and prompt engineering to automate catalog and vendor-data analysis. Build decision models, simulations, dashboards, and knowledge-management systems supporting selection, pricing, and inventory decisions. Translate findings for executives, train business users, and mentor analysts.

Develop and maintain analytics solutions for Canada Operations, including dashboards, reports, data models, pipelines, and documentation. Translate business needs into analytics requirements, manage large datasets, validate deliverables, and provide actionable insights to stakeholders and senior leaders. The role also involves presenting findings, supporting analytics initiatives, training users, and collaborating across teams to improve operational performance.

Leads credit data remediation and governance for FR Y-14 regulatory reporting. Gathers requirements, analyzes data quality issues, performs root-cause analysis, defines remediation initiatives, supports testing and validation, documents lineage and metadata in Collibra, and collaborates with Finance, Regulatory Reporting, Engineering, Architecture, and Operations teams. The role also supports data modernization, cloud migrations, regulatory responses, governance controls, and Agile delivery.

Analyzes large datasets to identify trends and insights, then translates findings into clear data stories for technical and non-technical audiences. Creates dashboards, visualizations, infographics, reports, and presentations to support organizational decision-making. Serves as a bridge between data and business stakeholders, ensuring insights are accessible, actionable, and aligned with business objectives. Continuously refines data narratives based on feedback and evolving needs while considering data ethics, security, and privacy.

Develops and maintains cloud-based data platforms, pipelines, ETL/ELT workflows, and AI capabilities. Writes maintainable code, supports AWS solutions, monitors platform reliability, participates in testing, code reviews, deployments, and CI/CD practices. Collaborates with engineering, product, and business teams to deliver secure, scalable data solutions. Contributes to automation, optimization, governance, and continuous improvement while adopting emerging cloud and AI technologies.

Build and optimize secure, scalable cloud data infrastructure and data products using AWS. Lead software and data engineering initiatives, develop ETL/ELT pipelines, implement engineering standards, deliver projects, and mentor junior engineers. The role requires Python, SQL, infrastructure as code, CI/CD, and cloud-native data engineering expertise, with opportunities to support regulated, multi-region, and multi-currency systems.

Design, develop, and support analytics solutions, dashboards, reports, and data models. Prepare and transform data, ensure data quality and governance, collaborate with stakeholders, leverage AI to accelerate delivery, and drive process improvements to enable data-driven decisions.

The Senior Data Analyst will analyze sales, marketing, and customer success data, develop dashboards, collaborate on strategies, and enhance data infrastructure with a focus on actionable insights.

Analyze large datasets across systems, build and maintain Power BI dashboards, write and optimize SQL, support performance reporting and ad-hoc business requests, develop and deploy ML models (including time-series forecasting), and ensure data accuracy and reliability.

Defines and deploys data and analytics solutions, develops reporting and KPI frameworks, partners with stakeholders and technical teams, manages analytics projects, supports data governance and quality, trains users, and communicates business impacts to executives. The role also develops data strategies, prioritizes work, coordinates resources, and drives AI/ML-enabled analytics initiatives where applicable.

Defines, develops, and deploys data and analytics solutions supporting business decisions. Partners with data, IT, governance, and functional teams to establish strategies, KPIs, reporting, data quality practices, and analytics initiatives, including AI/ML applications. Manages project budgets, timelines, resources, prioritization, and stakeholder communications while training users and influencing senior executives.

The Services Analyst develops financial forecasts, assists in monthly reporting, manages costs and budgets, and designs user-friendly reporting solutions through data analysis and collaboration with stakeholders.