Top Analyst Jobs in Bangalore

The Business Analyst will reconcile healthcare data, investigate exceptions, analyze business processes for improvements, and support management reporting. They will collaborate with teams to enhance workflow efficiency while ensuring compliance with healthcare regulations.

Support Salesforce reporting, build and maintain Power BI executive dashboards and scalable data models, validate and reconcile revenue data, support forecasting and pipeline analysis, identify trends and data quality issues, and communicate insights to stakeholders across the business.

Lead design and implementation of scalable data architectures and pipelines, ensure data quality, build visualizations and dashboards, mentor junior analysts, collaborate with cross-functional teams, and document data dictionaries and processes.

Build and maintain predictive models and scalable BI reporting to improve sales forecasting, pipeline insights, and core sales KPIs. Partner with Sales, Finance, and IT to standardize metrics, transition away from manual forecasting, and deliver repeatable, explainable analytics for proactive decision-making.

Provide product analytics to inform product and growth decisions: analyze funnels, cohorts, LTV, DAU/MAU and retention; design and analyze A/B tests; build dashboards and semantic layers; design data marts and dimensional models; use SQL, Python and BI/product analytics tools; collaborate with cross-functional teams and recommend actions to improve engagement, retention and monetisation.

Lead analysis of Windchill PLM data to drive product lifecycle improvements. Build scalable data models, pipelines, reports, and visualizations (Power BI). Collaborate with stakeholders and IT to ensure data quality, security, and deliver actionable insights using Python, R, and SQL.

Designs and executes test plans and scripts for data and analytics projects, performs UAT, validates results, identifies and remedies defects, supports data staging and deployments, and documents QA policies and metrics to ensure products meet quality and regulatory standards.

As a Senior Data Analyst, you will manage and report data, drive insights, lead projects, collaborate with teams, and present metrics to business leaders.

The Senior Data Analyst will analyze complex datasets, develop predictive models, build dashboards, and facilitate data-driven decisions in collaboration with cross-functional teams.

The Marketing Data Analyst will manage data from Salesforce and HubSpot, performing analyses to support B2B marketing strategies and drive decision-making through insights, reporting, and dashboarding.

The Senior Business Analyst will oversee data integrity in Salesforce, produce reporting, analyze sales data for strategic insights, and support leadership decision-making for the Cyber & Data Resilience business.

Design, build, and maintain dashboards and reports; create data models for consistent reporting; manage ETL in SQL Server; ensure data reliability and governance; support cloud migration and collaborate with stakeholders to align analytics with business needs.

Drive end-to-end product analytics for user growth and product strategy: define metrics, design and analyze A/B tests, handle PB-scale behavioral and transactional data, build dashboards, predictive models, and deliver actionable insights to product and business stakeholders.

Lead client assurance reporting and governance: manage EWA updates, produce recurring/ad hoc reports, drive CSAT and survey follow-up, investigate data discrepancies, recommend corrective actions, and improve compliance, processes, and automation across delivery teams.

Lead end-to-end product analytics: extract and analyze large datasets, build dashboards and visualizations, run experiments, and influence product decisions using tools like SQL, Metabase, Mixpanel, BigQuery, and Excel.

The Senior Analyst - Business Systems develops and supports business applications to automate processes, enhances data management, and coordinates with teams to identify automation opportunities.

The Power BI Administrator will manage the Power BI environment, support governance, automate workflows, and ensure compliance with data standards. Responsibilities include overseeing deployment, troubleshooting issues, and mentoring stakeholders on BI best practices.

The Senior Oracle Cloud HCM Technical Analyst configures Oracle HCM Cloud, supports users, analyzes processes, develops solutions, and manages system upgrades, collaborating with stakeholders.

Build and maintain Workday Advanced/Matrix/Composite reports and dashboards, handle complex Tier 2/3 data requests, standardize and audit report definitions and naming conventions, improve data quality and Workday configuration, translate business requirements into reporting solutions, support project lifecycle (requirements, development, testing, documentation), flag data issues, and use AI tools and scripting to assist analysis. Role requires split-shift overlap with US East Coast hours.

Design, develop, and maintain Power BI dashboards and automated reports. Gather requirements, build SQL queries/stored procedures, validate and transform data, create advanced Excel models, collaborate with stakeholders, optimize report performance, and troubleshoot data/reporting issues.

Support APAC sales leaders and pursuit teams with client intelligence, market and competitor analysis, sales pipeline reporting, dashboards, and sales enablement resources. Translate data into presentations and recommendations, maintain knowledge repositories, and for senior analysts mentor juniors and support project management.

Early-career role analyzing PB-scale on-chain, transactional and customer data. Perform data engineering, ETL, querying, build visualizations and ML models, translate insights for teams, manage reporting environment, secure confidential data, and troubleshoot reports/databases.

Partner with product teams to define success metrics, instrument tracking, build dashboards, run A/B tests, analyze large datasets for fraud/risk/pricing, and translate insights into actionable recommendations for stakeholders and senior leadership.

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.

Transform raw data into actionable insights by collaborating with business units, optimizing SQL queries, enhancing Tableau dashboards, and driving process improvements.