Top Business Analyst Jobs in Gurgaon

Develops, tests, and deploys automation and AI-enabled solutions. Responsibilities include building data workflows, writing SQL queries, administering automation platforms, validating deliverables, troubleshooting errors, documenting configurations, monitoring performance, and identifying process improvements. The role requires experience with ETL, Alteryx or KNIME, VBA, SQL, Microsoft Office, Power Automate, SharePoint, and AI tools.

Monitors potential threats to travelers, delivers sensitive crisis reports, supports analytics and project deliverables, maintains program documentation, and engages crisis teams during escalations. The role troubleshoots reporting, ensures data quality, conducts stakeholder debriefs, recommends program improvements, and provides training and consulting. It requires 24/7 rotational shift coverage in India, strong SQL, Tableau, Excel, VBA or Python skills, analytical judgment, and the ability to work effectively under pressure.

Lead end-to-end analytics projects for banking/financial clients, translate business needs into data problems, build Python-based analytical models, deliver insights and presentations to clients, manage timelines/budgets, mentor junior staff, and optimize marketing campaigns using statistical and ML techniques.

Analyzes business needs and supports decision-making, but no specific responsibilities or qualifications are provided.

Lead business analysis for procurement-focused BI projects. Gather stakeholder requirements, document business processes, create functional specifications and data mappings, and define Power BI dashboards, data models, calculations, and visualizations. Support project planning, scope and milestone tracking, RAID and decision logs, governance communications, UAT, deployment, training, and hypercare. The role requires strong Power BI, data modeling, DAX, Azure, ETL/ELT, procurement analytics, and cross-functional stakeholder management experience.

Analyze business data, build and maintain business models, provide actionable insights and reports, collaborate with cross-functional teams, monitor performance, and recommend efficiency improvements to support strategic decision-making.

Analyzes complex datasets, develops Tableau dashboards, performs statistical and predictive modeling using R and Python, and delivers actionable insights. Partners with cross-functional teams and business stakeholders to identify inefficiencies, support strategic decisions, and monitor solutions. Requires strong communication, problem-solving, and analytical skills.

Serves as the bridge between business stakeholders and BI/IT teams by translating requirements into analytics solutions. Defines KPIs, guides Power BI and SQL development, validates data and dashboards, coordinates UAT, supports governance and standardization, trains users, and drives adoption of business intelligence tools. Partners with Sales, Finance, Delivery, and Operations leaders to deliver actionable insights and measurable business outcomes.

Collect, clean, and validate data; generate standard reports and dashboards; support senior analysts with ad-hoc analysis; document processes and maintain data accuracy.

Implement and maintain SQL and Power BI solutions; translate business needs into data tasks; ensure data quality and validation; create data models and semantic layers; build client-ready dashboards and reports; automate workflows using Power Apps and Power Automate; liaise with stakeholders to define reporting requirements.

Associate Business Analyst in Risk Analytics responsible for conducting regulatory modeling and risk analytics using SAS. Role fills a skills gap where SAS and regulatory modeling expertise are not available internally.

Lead and manage the analytics function, run complex analytics projects, drive adoption of advanced tools and methodologies, align analytics with organizational objectives, and foster innovation and continuous improvement.

Collect, clean, and organize data; analyze datasets to identify patterns and trends; build dashboards, reports, and visualizations; perform ad-hoc analyses; apply statistical techniques and predictive models; monitor KPIs; ensure data integrity and document methodologies.

Analyze business processes, gather and document requirements, design and implement business solutions, optimize processes, provide analytical support, and collaborate with stakeholders to ensure solutions meet needs and support project implementation.

Serve as liaison between business and technical teams to perform data profiling, mapping, lineage, transformations and standardization. Produce BRDs, STTM, data models and design docs. Use SQL and Snowflake to analyze large-scale data; apply P&C insurance domain knowledge across policy, claims and reinsurance processes.

Business analyst role in business and risk analytics requiring SAS and regulatory modeling expertise not available internally. Candidate must provide domain-specific modeling support.

Work with business and technical teams to profile, map, transform, and standardize large-scale data. Produce BRDs, source-to-target mappings, data lineage, and design documents. Use SQL and Snowflake; apply P&C insurance domain knowledge across policy, claims, and reinsurance.

Analyze business data, build models and forecasts, create Power BI reports, write SQL, define performance metrics, test hypotheses, and identify root causes. Translate descriptive and diagnostic analytics into actionable recommendations for business leaders. The role also involves mapping business processes to data flows, managing cross-functional stakeholder relationships, supporting process improvements, and connecting analytics to strategic and operational outcomes.

Analyzes business data, builds models and forecasts, creates Power BI reports, writes SQL, defines performance metrics, and conducts exploratory and diagnostic analytics. Provides actionable recommendations to business leaders, maps data flows, identifies process-improvement opportunities, and manages cross-functional stakeholder relationships.

The Senior Business Analyst collects, analyzes, and presents data to support business decision-making, reporting, and strategic planning within the organization.

Lead enterprise data strategy, governance, and standards while translating business needs into scalable data solutions. Drive cross-domain analytics, ensure data quality/lineage, manage delivery and risk, and mentor junior analysts. Partner with Product, PMO, and Engineering to enable self-service analytics and align data initiatives to measurable business value.

Work with Customer Success, Onboarding, Operations and Product to analyze business performance, build dashboards, automate reporting, define metrics, perform root-cause analysis, and present insights. Use SQL, Python, Excel and BI tools to extract data, improve processes, and create AI-supported internal automations and prototypes.

Lead enterprise data strategy, governance, and standards; translate business needs into scalable data solutions; drive cross-domain analytics, data quality, and operational excellence; mentor team members and enable business adoption of data deliverables aligned to measurable value.

Analyze syndicated market, consumer, and business data to identify trends, risks, opportunities, and actionable recommendations. Develop and maintain Power BI dashboards, reports, scorecards, KPI frameworks, and Excel-based analyses. Collaborate with stakeholders to define reporting requirements, validate data quality, and communicate insights to technical and senior business audiences. Support reporting frameworks, data models, and analytical processes while applying market research methodologies and business intelligence best practices.

The IT Business Intermediate Analyst bridges communication between business users and IT, analyzes needs, documents requirements, and enhances processes.