Top Data Analyst Jobs in Gurgaon

Support EMEA Distribution by transforming client data, delivering commercial insights, building stakeholder relationships, driving data governance, automating processes, and developing AI-enabled analytics to improve decision-making and productivity.

Support EMEA Distribution by transforming and governing client data, delivering analytics and AI/automation initiatives, generating commercial insights, forecasting, and engaging stakeholders to prioritise and implement high-impact data solutions.

Manage and maintain accurate static, pricing, reference, trading, and holiday market data across multiple asset classes. Research and source data from market data vendors and exchanges, respond to client and stakeholder queries within SLAs, support maintenance processes, and contribute to system projects and enhancements. The role requires capital markets knowledge, analytical skills, accuracy, shift flexibility, and willingness to work national holidays.

Analyze business performance across sales, go-to-market, finance, CRM, and product teams. Develop SQL analyses, reusable datasets, dashboards, and reporting using Python or R. Identify trends, risks, and opportunities; investigate data quality issues; communicate findings to technical and non-technical audiences; and recommend actionable improvements.

Collects, cleans, and analyzes data; performs statistical analysis; creates reports and dashboards; and collaborates with stakeholders to identify data needs.

The Senior Analyst will execute Mastercard's Master Data Management strategy, ensuring data integrity and collaboration across enterprise systems and stakeholders while leading MDM initiatives and governance practices.

Build blockchain data models and datasets by reverse-engineering DeFi protocols, indexing blockchains, and transforming transaction logs, smart contract events, and state changes into structured data. Develop SQL/dbt models, real-time pipelines, lakehouse schemas, and quality metrics for analytics and machine learning. Detect wash trading, bot activity, and Sybil attacks while integrating heterogeneous data through APIs and JSON-RPC.

Assists with gathering, cleaning, preprocessing, and analyzing data from various sources. Creates reports that support business decision-making and contributes to data model creation. The role is suitable for candidates with a bachelor's or master's degree in any field and zero to two years of experience.

Assists with gathering, cleaning, preprocessing, and analyzing data from various sources. Creates reports to support business decision-making and contributes to data model creation.

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.

Analyzes banking and capital-markets data using SQL and reporting tools, builds dashboards, interprets results, and translates technical findings into leadership reports. Develops functional requirements, makes data-driven recommendations, assesses business risks, supports regulatory reporting, and collaborates across analytics teams. Provides informal guidance to newer team members while ensuring quality, compliance, and timely delivery.

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.

Analyze complex data, build and validate quantitative models, perform scenario planning, monitor model performance, and develop data quality controls. The role provides actionable insights and specialist advice to stakeholders while supporting assurance, risk, compliance, and operational processes. Responsibilities also include reporting, data extraction, control testing, stakeholder communication, and managing competing priorities.

Leads complex data discovery, enrichment, curation, and quality initiatives using data science and AI/ML methods. Designs workflows for entity resolution, extraction, taxonomies, ontologies, and knowledge graphs; collaborates with product teams and customers to inform solutions. Owns project delivery, establishes quality standards, mentors team members, improves processes, and communicates data strategies to technical and non-technical stakeholders.

Analyze, extract, manipulate, validate, and visualize large datasets to identify business opportunities and issues. Capture and document business and data requirements, conduct options analysis, support process improvements, automate processes, deliver actionable insights, and perform quality assurance to ensure data accuracy and traceability.

Lead complex data discovery, enrichment, curation, and AI-driven initiatives. Develop scalable workflows for entity resolution, information extraction, taxonomies, ontologies, and knowledge graphs. Partner with product teams, customers, and stakeholders to turn data insights into product improvements. Own project delivery, quality standards, process improvement, and team mentoring while communicating technical findings to varied audiences.

Supports client analytics initiatives through exploratory analysis, dashboard and report development, KPI tracking, data quality validation, metric documentation, and visualization. Collaborates with engineers, analysts, product teams, designers, and stakeholders to translate business questions into analytical requirements and communicate insights. The role also develops consulting skills across digital products, transformation, UX, and design thinking.

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.

Manages customer account, security, pricing, and reference data across systems. Identifies data-quality and service improvements, oversees corporate-action data processes, supports projects, supervises junior staff, handles escalations, and serves as manager backup while ensuring regulatory and risk controls.

Oversees the creation and maintenance of customer, security, and pricing reference data across multiple systems and teams. Identifies data-quality and client-service improvements, supports project delivery, supervises junior staff, provides team guidance, handles escalations, and serves as backup for the manager. Ensures compliance with applicable policies, laws, regulations, and risk controls. Requires substantial experience in asset servicing, capital markets, corporate actions, securities, derivatives, and related financial-services operations.

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.