Top Data Analyst Jobs in Bangalore

Lead analytics strategy across Zynga studios, solve complex player-behavior problems, develop statistical and machine learning methodologies, and deliver scalable data platforms, frameworks, dashboards, and experiments. Influence executive decisions through data storytelling, mentor analysts, establish governance and reproducibility standards, and guide production-scale models and game features that improve business and player metrics.

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.

Analyzes data using statistical and data mining techniques, develops visualizations, optimizes queries, and supports data-driven solutions. The role involves advanced SQL, ETL and data-flow analysis, data warehousing and modeling, requirements gathering, and functional specifications. It requires independent research, effective communication, documentation, and adherence to GxP regulations and SOPs. Tableau and experience with finance, healthcare, or manufacturing data are advantageous.

Develops Power BI analytics solutions, including data models, DAX calculations, custom measures, ELT flows, data warehouses, and Azure pipelines. Builds scalable datasets using Snowflake and dbt, supports analytics rollouts, resolves ServiceNow incidents, and communicates data issues and recommendations. The role also requires cross-functional collaboration, presentations on new technologies, client interaction, and working in Agile/DevOps environments.

Develop and maintain Power BI dashboards, reports, data models, and ETL processes. Analyze complex datasets, ensure data integrity, troubleshoot BI platform issues, and translate stakeholder requirements into actionable insights. Collaborate with business users, support reporting solutions, and communicate findings to nontechnical audiences. Power Automate is required; Databricks and Python experience are advantageous.

Analyzes consumer banking and credit card marketing data to identify trends, generate customer behavioral insights, and improve targeting, segmentation, campaign optimization, decision strategies, and business planning. Partners with stakeholders to evaluate data sources, track performance, improve processes, and recommend strategic actions. Requires strong analytical judgment, communication, compliance awareness, and experience with Python, PySpark, SAS, and SQL.

Develop MIS and business reports, dashboards, ad hoc analyses, and automated self-service solutions using SAS and SQL. Partner with business units to gather requirements, deliver accurate data-driven solutions, lead projects and transitions, and communicate findings. Manage multiple initiatives independently, ensure timely delivery, improve reporting consistency, and guide junior analysts. The role requires strong data manipulation, dashboard development, analytical reasoning, communication, and project management skills in a banking or financial services environment.

Analyze large datasets to identify opportunities that improve player experiences and game metrics. Develop dashboards, maintain trusted data sources, communicate insights, and support evidence-based decisions. Collaborate with product managers, game designers, engineers, analysts, and marketing teams to design, test, verify, and deploy machine learning models and product features at scale.

Collect, clean, validate, and analyze data from multiple sources using Python or R and SQL. Develop Power BI or Tableau dashboards and reports, identify trends and KPIs, ensure data accuracy, and communicate actionable insights to stakeholders. Collaborate cross-functionally to support business decisions and improve performance.

Designs and delivers dynamic client-facing reports and visualizations for investment services clients. Analyzes large datasets, supports data modeling and data mart design, applies SQL for analysis and validation, and ensures data integrity. Serves as a subject matter expert for the IRD reporting platform while collaborating with product, data sourcing, and stakeholder teams to deliver high-quality reporting solutions on time.

Manages and analyzes operational data, develops MIS reports and dashboards, tracks performance metrics, ensures data integrity, and automates recurring reporting using Excel, VBA, and scripting. Collaborates with Operations, IT, and Finance to resolve data issues, supports software upgrades, and presents actionable insights to business leaders.

Performs validation, quality reviews, anomaly investigation, exception management, vendor engagement, and governance reporting for Sustainable Investment datasets. Supports dataset onboarding, due diligence, testing, control improvements, user acceptance testing, migrations, and process changes. Partners with Product, Technology, Engineering, and Data Governance teams to improve data systems, automation, scalability, and operational procedures.

Analyze homeowners insurance data to support pricing, underwriting, retention, product, and competitive intelligence decisions. Write SQL across BigQuery and SQL Server, build Power BI dashboards, identify portfolio trends and anomalies, measure product changes, and ensure data quality through QA and reconciliations. The role partners with product managers and business leaders, requiring autonomous problem-solving, clear communication, and cross-functional analysis.

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.

Analyze, query, transform, and model data using Python and SQL. Build reliable reporting structures and Power BI dashboards, implement data quality checks, validate data pipelines, and support testing of transformations. Apply statistical methods including segmentation, trend analysis, correlation, and forecasting. Collaborate with technical teams, document datasets and workflows, use Git and Agile practices, and potentially integrate AI-enabled analytics.

Oversee corporate travel operations, analyze travel and expense data, build Power BI dashboards, track KPIs, and identify cost-saving opportunities. Lead travel-related projects, process improvements, technology implementations, supplier transitions, and change management. Coordinate with Travel, Procurement, Finance, HR, Security, suppliers, and business stakeholders while supporting policy compliance, reporting automation, audits, governance, and traveller experience improvements.

Leads enterprise data engineering, analytics, reporting, regulatory data, and platform initiatives for banking and financial services. Designs data warehouses, lakes, pipelines, integrations, reporting marts, dashboards, and Oracle solutions. Ensures data quality, governance, reconciliation, lineage, and regulatory compliance across lending, risk, securities, tax, payments, treasury, and customer data. Provides L2/L3 production support, resolves incidents, drives performance improvements, and partners with senior stakeholders and global teams.

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.

Conduct media, social listening, influencer, and predictive analytics research for agency clients. Manage recurring and ad hoc KPI reporting, trend analysis, crisis monitoring, and optimization recommendations. Translate data into strategic insights and compelling stories, advise account teams and leadership, and mentor junior analysts. Support consumer, technology, healthcare, and food and beverage accounts while using specialized social listening tools and Boolean queries.

Generates and manages accurate data for reports, oversees coding quality and junior coding teams, manages content searches and uploads, performs data checks, troubleshoots data-flow issues, creates charts and qualitative insights, and supports data exports, contact management, verification, and report production.

The Data Analyst develops and maintains Power BI dashboards, datasets, data models, SQL and DAX solutions, and data pipelines. The role supports AWS cloud analytics integration, data quality, troubleshooting, governance, documentation, and workspace administration. It coordinates data engineers, translates business requirements into technical deliverables, collaborates with stakeholders, and communicates findings to nontechnical audiences while supporting agile delivery and data privacy compliance.

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.

Analyze existing data structures, map to new designs, write user stories and acceptance criteria, document data mappings/transformations, gather requirements, support developers and testers, and run workshops to ensure business-focused delivery.

Lead data analytics initiatives by developing Tableau and Looker dashboards, integrating and validating data from multiple sources, optimizing reporting performance, writing SQL and Python-based analyses, translating stakeholder needs into scalable solutions, and mentoring analysts. The role also supports data engineering, ETL/ELT processes, GCP applications, and continuous improvement of analytics practices.

Analyzes and transforms business data using advanced SQL and Python; develops automated integrations, validates and reconciles data, troubleshoots quality issues, and supports BI dashboards and reports. The role translates stakeholder requirements into actionable insights and collaborates with data engineers and security teams. Preferred experience includes information security data, Starburst or Trino, and AI-assisted analysis or automation.