Top Analyst Jobs in Bangalore

The Staff Data Analyst will transform data into insights for GitLab’s Support Engineering organization. Responsibilities include capacity and budget modeling, utilization scorecards, support economics analysis, performance indexes, AI adoption ROI dashboards, predictive churn analytics, customer-schema standardization, executive reporting, and ad hoc analysis. The role partners with Support Engineering, go-to-market, Business Operations, and Product Engineering in a remote environment.

Analyze renewal pipelines, customer health, churn, upsell, retention, and business performance using data. Develop forecasts, identify trends and gaps, validate data, recommend action plans, and provide insights to Sales and Customer Success leadership. Drive process improvements, automation, KPI reporting, and cross-functional operational programs while presenting business outcomes to stakeholders.

Own analytics for Words With Friends Instant, providing insights on player behavior, product performance, experimentation, revenue, retention, and engagement. Design statistical experiments, dashboards, telemetry, and ETL pipelines; analyze trends and feature health; maintain data tools and models; and communicate recommendations to product, engineering, design, and executive stakeholders. The role also supports AI initiatives and optimization of the player experience.

Monitor and validate Power BI and Qlik dashboard refreshes, investigate data discrepancies, troubleshoot failures, and coordinate resolutions with data teams. Maintain logs, SOPs, issue trackers, and knowledge documentation while supporting dashboard enhancements, performance improvements, governance, audits, and stakeholder queries. The role requires SQL-based data validation, root-cause analysis, dashboard monitoring, and communication with business and technical stakeholders.

Develops and optimizes risk reports for Commercial Real Estate business teams. Translates stakeholder requirements into meaningful reporting outputs, performs advanced data analysis and complex querying, identifies reporting capabilities, and supports process improvement. Collaborates across business lines, manages multiple initiatives, influences stakeholders, and applies business analysis, design thinking, statistical methods, and project management skills.

Own website, campaign, and marketing performance reporting using Adobe Customer Journey Analytics and external marketing data. Analyze digital behavior, engagement, conversion, and customer journey trends; build automated Power BI dashboards; identify insights and anomalies; and present actionable recommendations to marketing, business, and leadership stakeholders. The role also develops CJA reporting components, improves data quality and reporting processes, and delivers executive-ready data storytelling.

Develop scalable analytics, dashboards, reporting solutions, and data visualizations for business leaders. Analyze large datasets and SaaS metrics, provide strategic insights, automate recurring processes using Python and AI-enabled tools, and establish data-quality, KPI, documentation, and governance practices. Partner with stakeholders across business functions to support data-driven decisions, forecasting, operational efficiency, and business performance.

The Reporting Analyst designs, maintains, and improves business reporting systems, databases, dashboards, and analytical tools. Responsibilities include collecting and analyzing data, validating reports, monitoring business trends, automating reporting processes, and communicating insights to stakeholders. The role supports marketing, sales, financial, operational, and other business functions while aligning reports with objectives and KPIs. Advanced Excel and Power BI experience are expected, while Python, SQL, VBA, and SAP knowledge are beneficial.

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.

Collects, validates, and analyzes real estate data across office, retail, residential, and industrial sectors. Maintains database integrity, identifies city-level market trends, prepares newsletters, reports, presentations, white papers, and media content, and supports leadership with market insights. Collaborates with transaction teams and research counterparts to understand market conditions, standardize reporting, and share best practices. Tracks real estate developments, policies, news, and emerging segments.

Collects, reviews, analyzes, and quality-checks earnings estimates and financial market content from global contributors. Ensures accurate database and product publication, manages content incidents, monitors market events, maintains documentation, develops best practices, and performs automated checks. Trains new and existing analysts on workflows, data issues, databases, and products. Requires financial markets knowledge, analytical skills, Excel proficiency, strong communication, and flexibility for all shifts.

Lead end-to-end analysis of supply chain and inventory optimization problems using SQL, Python, R, visualization, simulations, and analytical models. Build scalable dashboards, KPIs, reporting, forecasting, and decision frameworks; perform root-cause and scenario analysis; partner with Product, Engineering, Supply Chain, and business stakeholders; influence senior leadership; and mentor analysts.

Develop and manage GIS databases and geospatial datasets; perform spatial analysis, validation, and QA/QC; process satellite imagery and DEMs; create cartographic products and ArcGIS Dashboards; manage AutoCAD Map 3D drawings; integrate GIS, CAD, and engineering data; prepare technical documentation; and collaborate with multidisciplinary infrastructure, utility, water, and environmental project teams.

Supports the business finance team with data analysis, reporting, process improvements, and AI-powered workflow automation. Responsibilities include setting up automated business reports, maintaining data accuracy, and addressing finance data requirements. The role requires hands-on experience with SQL, Python, Claude, and other AI tools, with Power BI and Tableau knowledge preferred.

Develops business analysis outputs, engineering metrics dashboards, leadership presentations, process documentation, and data-driven recommendations. The role uses SQL, Python, R, ETL pipelines, REST APIs, DOMO, Power Platform, RPA, and approved AI tools to analyze data, automate processes, support UAT, troubleshoot integrations, monitor agile engineering metrics, and improve decision-making while protecting sensitive information.

Owns forecasting, performance reporting, commercial analysis, demand planning, assortment recommendations, markdown analytics, and inventory productivity for the India business. The role develops dashboards and KPIs, analyzes SKU-level forecasts and product performance, identifies risks and opportunities, and recommends actions. It partners with Sales, Marketing, Finance, Operations, Logistics, and regional teams while improving planning processes, data quality, automation, and fact-based decision-making.

Develops Power BI dashboards, reports, data models, DAX calculations, and analytical solutions. Translates client business requirements into KPIs, workflows, and actionable insights; assesses data quality; optimizes report performance; and presents findings through visualization and storyboarding. Collaborates with data scientists, engineers, and stakeholders to integrate analytics into business processes.

Analyzes and reports insurance risk data to support property and casualty underwriting decisions. Provides risk mitigation guidance across industries, uses Excel, Power BI, Salesforce, and other business intelligence tools, and investigates health, safety, environmental, and casualty risks. Works independently on lower-complexity problems, collaborates with peers and supervisors, and may work rotational shifts.

Perform advanced data analysis, visualization, and business intelligence work for clients across industries. Translate business problems into analytical structures, apply statistical and machine learning techniques, map business processes, generate data outputs, interpret quantitative results, and collaborate with data science and engineering teams. The role also manages data analysts, supports client engagements, and helps embed analytics and AI into business decision-making.

Cleanses and maintains master data across materials, customers, vendors, and finance. Performs data profiling, validation, quality analysis, root-cause investigation, dashboard development, KPI reporting, and governance activities. Collaborates with business, MDM, and data governance teams to enforce data standards, document metadata, resolve issues, and provide actionable insights to stakeholders.

Leads enterprise MDM and PIM implementations by facilitating discovery, documenting requirements, designing data governance and migration strategies, configuring platforms, and managing UAT. Profiles legacy data, defines mappings and quality rules, maintains traceability, coordinates stakeholders and vendors, manages scope and defects, creates documentation, and trains client teams. The role requires rapidly mastering MDM platforms, using AI tools responsibly, and translating technical constraints into business terms.

Analyze and model data from multiple sources, build reliable datasets and dashboards, validate data quality, conduct statistical analyses and experiments, and translate findings into business recommendations. Partner with cross-functional stakeholders across marketing, operations, finance, and product. Promote data literacy, document best practices, and support data-driven decision-making. The role requires strong SQL, Python or PySpark, BI tools, Databricks, financial services knowledge, and experience with credit risk, lending, governance, and customer lifecycle analytics.

Supports AI initiative delivery by identifying business opportunities, gathering requirements, translating needs into technical specifications, assessing business value, and coordinating stakeholders, data scientists, engineers, IT teams, and vendors. The role also supports Azure AI solution delivery, data governance, ethical AI compliance, change management, user adoption, documentation, and process optimization.

Leads complex analytics initiatives, translates business needs into scalable data solutions, develops KPI frameworks, and delivers actionable insights through SQL, Python or R, dashboards, and reporting. Partners with senior stakeholders on analytical roadmaps, mentors junior team members, and supports data-driven decision-making. Responsibilities include data extraction, manipulation, automation, statistical modeling, data visualization, performance tracking, and business reporting.

Develop and execute marketing analytics strategies, oversee Python-based ETL pipelines and SQL data environments, maintain Tableau and Adobe Analytics reporting solutions, establish data governance and quality standards, define KPIs, deliver actionable insights, manage analytics projects, and present findings to leadership.