Top Analyst Jobs in Bangalore

Deliver complex analytics using Databricks, Snowflake, SQL, and Python to analyze large datasets, validate data products, assess model precision/recall, and present actionable insights to Product Owners and Data Scientists. Support data preparation, quality assurance, stakeholder communication, and continuous improvement of data products.

Leads analytics for the Partnerships business, supporting agent acquisition, growth, retention, product optimization, financial risk, commission debt, funnel performance, and onboarding strategy. Builds diagnostic models, dashboards, tracking frameworks, and self-service analytics infrastructure while integrating generative AI tools. Partners with executives, data engineers, and analytics teams, presents insights to senior leadership, and mentors junior analysts.

Build and maintain scalable data pipelines and ETL/ELT workflows on Google Cloud Platform. Ingest data into the enterprise data lake, primarily managing the bronze layer of a medallion architecture. Analyze legacy systems, document data flows, validate transformations with SQL, support data quality and governance, and collaborate with business stakeholders and technical teams to modernize data platforms.

Analyze sales, financial, customer, and commercial performance data to support forecasting, business planning, growth opportunity identification, and executive decision-making. Build dashboards, reporting solutions, forecasts, scenarios, and actionable recommendations. Partner with business and technology stakeholders to improve data quality, KPI governance, analytics adoption, and measurement of commercial initiatives. Apply statistical, predictive, machine learning, and experimentation techniques when they deliver measurable business value.

Build and maintain dashboards, reporting products, and analytics solutions using Tableau, Google Looker, Dataiku, and related tools. Translate business requirements into intuitive insights, validate data accuracy, perform testing and quality checks, document reporting logic, identify process improvements, and present findings to stakeholders. Collaborate across technical and non-technical teams while managing multiple deliverables and maintaining reliable, scalable, user-friendly analytics products.

The description provides company and Global Capability Center context but does not specify the Business Analyst role’s responsibilities, qualifications, technologies, compensation, travel, or clearance requirements. The position appears to support globally integrated teams and business functions including Finance, HR, Procurement, IT, and Operations.

Support the InSight Program through data analysis, dashboards, field-data troubleshooting, technology product development, automation, ETL infrastructure, visualizations, survey tools, and partner coordination. The role also contributes to regional expansion planning, pilot evaluation, process design, and documenting lessons learned. Responsibilities combine analytics, cloud technology, program operations, and stakeholder management to scale community-led vision-care interventions.

Leads analytics for a mobile gaming business, owning investigations into funnels, retention, churn, player value, monetization, game economy, and experimentation. Builds churn prediction and forecasting models, designs and analyzes A/B tests, architects data pipelines, ensures data quality, creates self-service dashboards, communicates recommendations to leadership, and mentors analysts. Requires strong SQL, Python, statistical reasoning, visualization, and experience working with large-scale data systems.

Lead business analysis for procurement-focused BI projects. Gather stakeholder requirements, document business processes, create functional specifications and data mappings, and define Power BI dashboards, data models, calculations, and visualizations. Support project planning, scope and milestone tracking, RAID and decision logs, governance communications, UAT, deployment, training, and hypercare. The role requires strong Power BI, data modeling, DAX, Azure, ETL/ELT, procurement analytics, and cross-functional stakeholder management experience.

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

Develop and maintain SQL Server ETL processes using T-SQL and SSIS, troubleshoot data issues, optimize database performance, and support OLAP and OLTP environments. Collaborate with Agile scrum teams to document requirements, design data solutions, model mappings, and deliver releases through CI/CD pipelines. Contribute to code quality, tooling, governance, and continuous improvement across globally distributed technical teams.

Lead the analytics function by developing dashboards, reports, data models, forecasts, and predictive models. Partner with cross-functional leaders to translate business challenges into actionable insights, ensure data accuracy, and support decisions across customer experience, sales, marketing, operations, and finance. Manage data pipelines and BI tool governance while mentoring analysts and junior data scientists, defining the analytics roadmap, and prioritizing team workloads.

Analyze structured datasets, identify trends, and communicate business insights through reports, presentations, dashboards, and visualizations. Contribute to analytics and benchmarking product initiatives, integrate technology and analytics, refine outputs for accuracy, and collaborate with peers and managers. The role requires strong Excel, Power BI, statistical, communication, and problem-solving skills, with preferred experience in competitor analysis, Salesforce reporting, survey platforms, automation, and life sciences.

Analyze sales performance, customer behavior, lead conversion, and churn data to identify trends and revenue opportunities. Build and maintain dashboards and reports, improve data visualization and reporting automation, and submit data reports to partners. The role supports sales decision-making through accurate, scalable, and actionable insights.

Monitor financial news, company releases, and market data to identify M&A and ownership transactions. Research, validate, analyze, and accurately record deal information, including PE buyouts, VC fund raises, and strategic acquisitions. Perform data-quality checks, maintain timely updates, improve workflows, and coordinate with Private Equity Intelligence News Associates.

The Senior Data Analyst will define source data, create data mapping, report inconsistencies, assist with data migration, and manage stakeholder expectations while delivering insights in financial services.

Process and analyze large-scale datasets using PySpark/Python and AWS data services; build and maintain scalable ETL pipelines, validate data quality, and translate findings into actionable insights. Collaborate with engineers, GIS, BI, and commercial teams; support KPI tracking, performance reviews, and AI-enabled analytics workflows.

Process and scrub data in Excel, manually approve calls using an internal tool, monitor call dashboards, analyze call activity, and escalate technical issues to relevant stakeholders. The role supports the US Applications team and requires strong communication, analytical ability, attention to detail, and Excel proficiency. This is a remote role in India working the US shift from 6 PM to 4 AM IST.

Leads enterprise data engineering, warehousing, integration, analytics, reporting, and regulatory data initiatives for banking and financial services. Designs scalable pipelines and data platforms, develops Oracle SQL and PL/SQL solutions, builds BI dashboards, manages data quality and governance, supports lending, risk, securities, tax, payments, treasury, and customer data domains, and provides L2/L3 production support. Partners with senior stakeholders and leads global teams to improve reporting accuracy, compliance, reconciliation, and operational performance.

Senior analyst focused on Workday reporting: design, develop, and maintain reports and dashboards, ensure data integrity, troubleshoot issues, and collaborate with HR/Finance stakeholders to deliver actionable insights and metrics.

The Senior Analyst will support and optimize Workday Integrations and Workato automation, ensuring data integrity and process improvement, while collaborating with HR and business stakeholders.

Serves as the bridge between business stakeholders and BI/IT teams by translating requirements into analytics solutions. Defines KPIs, guides Power BI and SQL development, validates data and dashboards, coordinates UAT, supports governance and standardization, trains users, and drives adoption of business intelligence tools. Partners with Sales, Finance, Delivery, and Operations leaders to deliver actionable insights and measurable business outcomes.

Analyze product and business performance, turn ambiguous questions into structured analyses, build/maintain dashboards, support A/B testing, partner with cross-functional teams, and communicate insights using SQL and spreadsheets.

The Analyst-Risk Management role involves analyzing large data sets to drive credit business decisions, leveraging big data and machine learning solutions.

Own end-to-end workforce and cost analytics: consolidate and validate multi-source data, build repeatable data pipelines, produce Power BI dashboards, run benchmarking and scenario modelling, and translate findings into executive-ready insights while partnering with central teams and regional business partners.