Top Business Analyst Jobs in Gurgaon

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.

Supports Tableau dashboard development, operational reporting, requirements gathering, basic data analysis, T-SQL querying, and Excel-based reporting. Maintains data quality, documentation, and process materials while helping translate findings into summaries and presentations. Collaborates with senior analysts and cross-functional partners to deliver accurate reporting outputs.

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.

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.

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.

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.

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.

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.

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.

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.

Build and maintain finance data models, pipelines, analytical models, datasets, and Power BI reports using Microsoft Fabric, Databricks, PySpark, and related platforms. Integrate SAP and non-SAP financial data, ensure metadata, lineage, governance, and production reliability, and manage code releases through GitHub. Collaborate with finance, engineering, and business stakeholders to deliver scalable, AI-ready data solutions and translate complex information into actionable insights.

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

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.

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.

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.

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.