Top Data Analyst Jobs in Mumbai

Owns invoicing, usage reconciliation, pricing validation, client reporting, KPI dashboards, and revenue analytics for consulting accounts. The role analyzes large datasets, builds financial models, identifies data and billing discrepancies, supports Finance and Sales stakeholders, and improves reporting and invoicing workflows through process automation and data visualization.

Monitors and processes well data at offshore wellsites, maintains sensors and data acquisition equipment, produces daily and end-of-well reports, ensures data integrity, supports customer service delivery, manages operational risk, and follows HSE policies and safety requirements.

Develops dashboards, KPI scorecards, and reporting solutions; analyzes business data to identify trends, risks, and improvement opportunities; writes SQL; automates recurring reporting and data preparation; maintains certified data models, definitions, documentation, and governance standards; and delivers actionable insights to stakeholders across the business.

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.

Analyze performance marketing campaigns across digital media platforms, manage data pipelines, validate requirements, build KPI dashboards, ensure data quality, and present actionable insights. The role uses SQL, BigQuery, visualization tools, and advertising platform data to support clients and internal stakeholders.

Analyze performance marketing campaigns across digital media platforms, manage data pipelines, validate data quality, and build KPI dashboards using BigQuery and visualization tools. Gather stakeholder requirements, maintain reporting standards, and translate metrics such as CAC, ROAS, LTV, and conversions into actionable recommendations for technical and non-technical audiences.

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.

Owns payroll implementation data by extracting, cleaning, mapping, loading, and reconciling employee, compensation, tax, benefits, and retirement data. Performs validation and audit checks, verifies deductions and contribution limits, documents variances, maintains loading records, and updates project and ticketing systems. Works with US implementation specialists to ensure accurate client onboarding and first payroll processing.

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.

As a Data Analyst, you'll analyze complex data sets using statistical techniques, collaborate with SMEs, and prepare reports for stakeholders.

Supports internal audits through data analytics, automation, continuous monitoring, and AI/ML model testing. Develops SQL and Python-based scripts, dashboards, exception reports, and automated testing routines; analyzes large datasets, validates findings, assesses controls and model performance, and communicates recommendations to audit and business stakeholders. The role also documents testing procedures, contributes to audit standards, resolves transactional issues, and partners with audit teams on complex engagements.

Analyze and integrate Salesforce data across CPQ and billing projects. Support enterprise-grade CPQ design and implementation across regions and billing systems, perform data gap analysis, manipulation, standardization, and large-dataset comparisons. Apply knowledge of subscriptions, order orchestration, activation, revenue recognition, invoicing, taxation, payments, general ledger processes, and the Salesforce CPQ data model.

Design, clean, analyze, and visualize data using SQL and Python; build Tableau dashboards; apply statistics and basic ML/DS concepts; follow software/data-engineering practices (version control, unit testing, high-performance code); work with structured and unstructured data and cloud environments.

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 operational data and processes, identify bottlenecks, design scalable solutions, automate workflows and reporting with Python and SQL, build dashboards and monitoring, perform root-cause analysis, document logic and collaborate with product, engineering, and ops teams to improve automation and data quality.

Supports Salesforce implementation, business systems administration, data migration, reporting, reconciliations, user acceptance testing, and process improvement for the Commercial Finance and FP&A team. Maintains accurate financial and commercial data, coordinates with cross-functional stakeholders, resolves discrepancies, and assists with routine transactional and administrative activities.

Develops and deploys .NET applications primarily on Windows. Responsibilities include software design and programming with VB.NET, C#, JavaScript, ASP.NET, SQL Server, Oracle, MVC, REST, and RPC; participating in Agile development; testing web applications; performing VAPT and generating SAST/DAST reports; fixing defects; and installing SSL certificates. The role also requires data engineering experience, strong analytical and communication skills, and coordination abilities.

Support and enhance Citi’s RUBY forecasting platform for interest rate risk, CCAR, and financial forecasting. Lead model onboarding, define requirements, develop technical solutions, prioritize projects, estimate costs, plan resources, manage risks, and coordinate delivery across Finance, Risk, Operations, Technology, and senior stakeholders. Analyze complex processes and large datasets while applying knowledge of financial modeling, balance sheets, P&L, treasury, transfer pricing, and interest rate risk.

Develop credit risk scorecards, predictive models, segmentation frameworks, and portfolio analytics using commercial bureau data. Analyze MSME lending portfolios, engineer features, validate models, and generate actionable risk insights. Translate client challenges into analytical solutions, support proofs of concept and pre-sales engagements, and collaborate with product, technology, and client teams. Maintain strong standards for model governance, documentation, compliance, data security, and productionisation.

Analyzes trade, shipment, ERP, logistics, and landed-cost data to support global trade compliance. Builds dashboards, scorecards, recurring reports, and digital tools using SQL, Power BI, Tableau, Python, and related technologies. Supports data quality, origin and free trade agreement analyses, duty optimization, trade-flow monitoring, and risk identification. Collaborates with Trade, Supply Chain, Procurement, Finance, IT, and business teams to deliver reliable, audit-ready insights and scalable compliance solutions.

Develop data-driven analytics products using large datasets, Python, SQL, statistics, and machine learning. Responsibilities include exploratory analysis, feature engineering, predictive modeling, validation, benchmarking, automated workflow development, UAT support, productization, documentation, and model governance. The role collaborates with product, technology, and business teams to deliver scalable, interpretable, and reliable decision-support solutions.

Develop data-driven risk and analytics products using bureau and financial services data. Responsibilities include exploratory analysis, feature engineering, statistical and machine learning model development, validation, benchmarking, workflow automation, UAT support, productization, documentation, and collaboration with Product, Technology, and business teams. The role requires strong Python and SQL skills, reproducible coding practices, model governance, and the ability to communicate analytical insights to technical and non-technical stakeholders.

Supports global commercial transformation initiatives involving ERP and CRM modernization. Translates business requirements into process maps, data rules, reporting, testing, controls, training, and change-readiness deliverables. Reconciles data across JDE, Oracle Fusion, Salesforce, and other enterprise sources; coordinates testing, defect resolution, cutover, and post-go-live validation. Partners with global business and technical stakeholders to manage dependencies, risks, governance, adoption, and stabilization.

Analyze digital marketing campaigns across Google, Meta, YouTube, and programmatic platforms. Use Google Ads Data Hub to generate privacy-safe insights, maintain KPI dashboards, validate complex datasets, and evaluate metrics such as CAC, ROAS, LTV, and conversions. Translate findings into actionable recommendations and communicate results to technical and non-technical stakeholders.

Supports clinical trial data management through data review, cleaning, query resolution, vendor reconciliation, CRF freeze and database lock activities. Performs UAT for listings, screens, and edit checks; maintains eTMF documentation in Veeva Vault; reviews external and laboratory data; and collaborates with internal and external stakeholders while following GCP, regulatory, and clinical data management standards.