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.

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.

Build and maintain Salesforce reports and dashboards, deliver ad-hoc and periodic analytics and account mapping, support Business Development programs for partner engagement, and collaborate with cross-functional BI, Sales Ops, and Marketing teams to drive insights and operational improvements.

Analyze large player datasets to identify opportunities, improve game metrics, and support evidence-based decisions. Build dashboards and maintain trusted data sources, communicate insights to technical and non-technical stakeholders, and collaborate with product, design, and engineering teams. Design, test, verify, and help deploy machine learning models and product features at scale. Deliver impactful analytics and data science projects aligned with product roadmaps.

Monitor and triage enterprise data pipeline incidents, investigate root causes, assess downstream impact, and coordinate escalations through resolution. Administer the Pantomath data observability platform, configure monitors and alerts, onboard pipelines, maintain integrations, and reduce alert noise. Communicate outage status and resolution timelines to stakeholders, document incidents and RCAs, support post-incident reviews, and conduct shift handoffs within a shift-based operations model.

As a Senior Business Systems Analyst, you will define system goals, capture business requirements, and work with engineering teams on SFDC implementations.

Develop and maintain Power BI dashboards, reports, data models, relationships, measures, and DAX calculations. Extract and analyze data using SQL, validate reporting accuracy, troubleshoot data issues, and translate stakeholder requirements into actionable visualizations. Document reporting logic and collaborate with business teams to deliver reliable insights.

Lead product analytics for a mobile esports platform: design and analyze A/B experiments, surface user-level behavioral insights, influence product roadmap with opportunity sizing, build models for propensity/LTV/churn, and apply agentic AI and BI tooling to turn data into executive recommendations.

Develop and maintain Power BI dashboards and reporting solutions, write and optimize SQL queries, build data models and DAX calculations, validate data quality, and translate business requirements into actionable insights. The role involves stakeholder collaboration, troubleshooting reporting issues, documenting dashboard logic and data sources, and supporting analytical decision-making.

Produces and quality-checks annotated geospatial datasets from satellite, LiDAR, aerial, drone, and ground imagery. The role performs classification, digitization, georeferencing, feature creation, and spatial data preparation for AI/ML pipelines and customer deliverables. It also uses generative AI to automate annotation workflows, documentation, and reporting, while collaborating with AI/ML engineers to refine labeling standards and ensure dataset accuracy, consistency, and productivity.

Business Analyst role in Bangalore supporting Merkle’s digital banking-related work. Candidates with experience at banks, NBFCs, fintechs, or technology service providers delivering digital banking solutions are prioritized.

Leads a team of analysts and oversees advanced data analysis to support sales performance and strategic decision-making. Analyzes large datasets, develops data models and predictive algorithms, creates visualizations and reports, collaborates with cross-functional stakeholders, and ensures data integrity through cleansing and validation.

Business Analyst role based in Bangalore supporting digital banking-related work. Candidates with experience at banks, NBFCs, fintech companies, or technology service providers delivering digital banking solutions are prioritized. The position is full-time and permanent with Merkle.

Leads a team of analysts and performs advanced analysis on large datasets to identify trends, develop predictive models, and generate strategic recommendations. Collaborates with sales, marketing, and executive stakeholders to support data-driven decisions, optimize sales performance, improve efficiency, and drive business growth. Ensures data integrity through cleansing and validation while communicating insights through reports and visualizations.

Manages supplier master data onboarding and maintenance, validates records and documentation, conducts data quality audits, resolves data issues, and enforces governance standards. Analyzes supplier data, supports risk and fraud prevention controls, develops reports and dashboards, performs data cleansing and testing, and collaborates with stakeholders on process improvements, compliance, and user education.

Supports procurement through business intelligence solutions, including Tableau and Power BI dashboards, reporting, data preparation, trend analysis, and actionable recommendations. Partners with analytics owners to ensure data quality and alignment, improves reporting processes through automation, and uses approved AI-assisted analytics responsibly. The role manages assigned BI tasks, timelines, quality, issue escalation, and stakeholder communication.

Develop and improve data-processing code for internal forecasting models and consulting analytics projects. Responsibilities include statistical computations, data transformation, automation, peer review, drawing conclusions, documentation, and applying scalable cloud-based solutions. The role requires advanced R and SQL, knowledge of ETL pipelines, data migrations, parallelization, production-ready coding, statistics, econometrics, and economics.

Develops advanced analytics solutions to address complex business challenges, using data visualization to communicate insights and influence decisions. Partners with stakeholders to define opportunities, improve and automate processes, and deliver commercial and customer value. Leads colleagues, coordinates data analytics resources, supports strategic projects and scrum outcomes, and connects data science, data engineering, and analytics work. Requires strong data management, data architecture, coding, cloud, visualization, and analytics expertise.

Supports reporting and analysis for LSEG’s Co-Sell and Re-Sell partner portfolio. Responsibilities include consolidating partner submissions, maintaining partner and end-client data, reconciling internal systems, producing dashboards, identifying data-quality issues, managing a centralized agreement repository, and supporting Partner Directors with commercial insights and revenue attribution improvements.

Supports market intelligence research by collecting and validating global data, managing outsourcer workflows, conducting quality checks, reporting progress, maintaining documentation, and contributing to process improvements. The role collaborates with Product and Engineering teams, trains service providers, manages recurring tasks and projects, and ensures accurate, timely database updates.

Develops advanced analytics and data solutions to address business challenges, improve processes, and generate customer and commercial value. The role consults with stakeholders, defines analytical questions, creates meaningful visualizations, communicates insights, and coordinates multidisciplinary Agile data teams. It requires technical capability, cloud experience, data architecture knowledge, analytics tooling and coding knowledge, plus an understanding of financial services.

Leads a data and analytics team at vice president level, coaching colleagues and delivering strategic analytics solutions. Partners with stakeholders to define complex business questions, plans analytics resources, applies advanced analytics and visualization, and communicates insights to support business decisions. The role also requires knowledge of data architecture, cloud environments, coding, emerging tools, and methodologies, with a focus on customer and commercial impact.

Develops advanced analytics solutions to address complex business challenges and improve understanding of customers, processes, channels, and products. Consults with stakeholders, translates insights into visualizations, leads strategic projects and scrum outcomes, coaches colleagues, and connects data science and engineering work to business needs. Requires strong technical capability, cloud experience, data architecture knowledge, and the ability to communicate complex findings clearly.

Lead sales analytics and revenue operations for B2C sales: build funnel reporting, dashboards (Mode, Hex, Amplitude), run A/B tests, ensure data quality, and partner on comp, headcount, and finance models. Integrate AI tools to accelerate analysis and automate workflows; work onsite in Bangalore night shift.