Top Business Analyst Jobs in Gurgaon

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.

Leads cross-functional business analytics and digital transformation initiatives for supply chain organizations. Translates business needs into scalable reporting, dashboards, semantic models, and analytics solutions using Microsoft technologies. Owns the analytics roadmap, Power BI governance, data quality, security, performance, and adoption. Designs automation solutions with Power Apps and Power Automate while partnering with engineering and architecture teams on modern data platforms. Drives requirements gathering, process mapping, root cause analysis, solution design, and measurable operational improvements.

Leads enterprise business analytics and digital transformation for endoscopy supply chain operations. Translates business needs into scalable reporting, advanced analytics, dashboards, KPI frameworks, and Power Platform solutions. Owns the analytics roadmap, Power BI governance, data quality, security, performance, and adoption. Partners with supply chain, engineering, architecture, and executive stakeholders while managing cross-functional initiatives and modernizing analytics platforms with Microsoft Fabric, Databricks, and Azure Data Factory.

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.

Supports business analysis by gathering and documenting requirements, analyzing business processes, performing basic data analysis, and assisting project teams under the guidance of senior analysts.

Evaluates and compares AI chatbot responses using predefined criteria for accuracy, relevance, completeness, clarity, and quality. Documents findings, analyzes business requirements, maps processes, identifies response-quality issues, prepares reports, and collaborates with project teams. The role is a fully remote, full-time 16-week contract requiring five days per week, possible weekend work, and at least four hours of overlap with US Pacific Time.

Owns requirements, acceptance criteria, traceability, test strategy, data quality validation, entity resolution testing, graph validation, defect management, and UAT sign-off for an enterprise data platform. The role evaluates precision, recall, false positives, Golden Record survivorship, node and edge accuracy, and source traceability while coordinating SME reviews and producing milestone acceptance evidence.

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.

Develop and execute monetization models, pilot revenue initiatives, analyze conversion and market data, manage budgets, identify business partnerships, and collaborate on growth plans. The role turns data into actionable business insights, communicates findings to stakeholders, and supports strategic decisions that drive revenue and expansion.

Develop and apply analytical models to help utility clients solve business problems, optimize operations, and realize value from AiDASH products. Collaborate with clients, engagement managers, and R&D teams to structure problems for AI solutions, generate data-driven insights, and present findings, recommendations, and business impact. The role also requires independent project delivery, innovative problem-solving, and strong communication.

Assists with analyzing business processes, developing and documenting business requirements, performing basic data analysis, and supporting software application development through coding, debugging, and testing under senior guidance.

The Senior Business Analyst leads product ownership and facilitates project delivery within an agile framework, focusing on requirements management and enterprise business systems analysis.

Analyzes business intelligence data to inform business and product decisions. Combines historical, industry, public, field, and purchased data sources; identifies market, geographic, competitor, and customer trends; and models potential business strategies with cross-functional teams. Executes specialized projects, improves processes, manages short-term team activities, and may supervise less experienced professionals.

Build and manage financial data models, pipelines, Power BI dashboards, DAX measures, and automated reporting solutions using Microsoft Fabric and Dynamics 365. Support FP&A through KPI tracking, monthly reporting, scenario analysis, and decision support. Collaborate with finance, IT, and data teams to ensure data quality, governance, documentation, and a trusted source of financial information for business stakeholders.

Business Analyst gathers and governs requirements, maps business processes and data flows, defines KPIs and data-quality rules, maintains data catalogs and metadata, and advises stakeholders on solutions. The role translates requirements into functional specifications, user stories, and acceptance criteria; leads UAT planning, defect triage, and business sign-off; and coordinates testing, deployment, and implementation. Experience with SAP, cloud data platforms, dbt, data lineage, APIs, and AI-assisted delivery tools is advantageous.

The Business Intelligence Analyst partners with stakeholders to translate business questions into analytical solutions. Responsibilities include developing analytical models, analyzing performance trends, creating executive presentations, maintaining scalable dashboards and reporting tools, and improving data quality and usability. The role uses Excel, SQL, Power BI, Data Studio, and other BI tools while collaborating with Data Engineering and Data Science teams on infrastructure and advanced analytics.

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.

Develops and maintains business intelligence reports, dashboards, data models, and visualizations using Power BI, DAX, SQL, and enterprise data platforms. Extracts, transforms, validates, and analyzes data to generate actionable insights and support decision-making. Collaborates with stakeholders to gather reporting requirements, communicates findings, supports data governance, and improves reporting processes through automation and emerging technologies.

Lead business intelligence and analytics for the Revenue Organization, partnering with Sales, Marketing, Customer Success, RevOps, and Finance. Own KPI frameworks, executive dashboards, self-service reporting, advanced SQL analysis, data quality, and analytical requirements. Enable stakeholders to use data and AI effectively, integrate LLM tools into BI workflows, support data modeling and governance, and manage analytics projects from requirements through adoption.

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.

Leads customer analytics projects using dbt and Snowflake, establishes data and code quality standards, mentors junior analysts, conducts code reviews, documents reusable solutions, manages customer requirements, delivers analytical findings, and identifies expansion opportunities.

Leads requirements gathering and stakeholder engagement for data and analytics products. Defines features, user stories, and acceptance criteria; validates reports, dashboards, datasets, semantic models, KPIs, and data integrations. Supports QA, UAT, data governance, and source-data improvement while identifying AI, automation, and analytics opportunities. Manages data ticket triage through Azure DevOps and serves as Scrum Master for agile delivery teams.

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.