Top Business Analyst Jobs in Gurgaon

Monitor and analyze payment gateway performance, investigate failures, reduce fraud and chargebacks, reconcile transactions, manage gateway provider relationships, support fraud prevention, and produce KPIs and reports to improve payment success and customer experience.

Supports organizational decision-making through complex data analysis, reporting, forecasting, dashboard development, and business intelligence initiatives. Analyzes large datasets across multiple systems, develops SQL-based reports and tools, identifies data-quality issues, improves and automates processes, and presents insights and recommendations. Collaborates with stakeholders, leads cross-functional initiatives, mentors team members, develops best practices, and contributes to KPI and methodology development.

Act as liaison between business and technical teams to gather and document requirements, analyze processes and data, create process maps, user stories, and dashboards, support project management and QA, and facilitate stakeholder workshops to drive improvement and automation.

Analyze marketing campaign performance, customer behavior, and market trends; build and maintain marketing dashboards and reports; collaborate with marketing and sales to define data needs; conduct competitor and KOL analysis; present insights via data visualization and recommend optimizations to improve marketing ROI and conversion.

The Business Analyst will define and implement incentive compensation strategies, integrate data for accurate calculations, and drive discussions on functional requirements in the healthcare domain.

As a Business Analyst, you will implement and enhance CTRM applications, document processes, provide support, and facilitate training for users.

The Digital Business Analyst will gather requirements, conduct gap analyses, and implement Adobe Experience Cloud solutions for enhanced customer experiences.

The Business Analyst will understand SaaS business models, onboard customers, manage data pipelines, and analyze customer KPIs using SQL.

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.

Designs, develops, and maintains Microsoft BI solutions, including data warehouses, ETL processes, dashboards, and reports. Partners with stakeholders to translate business needs into technical specifications, validate data quality, optimize BI system performance, and provide Power BI support and training. The role also facilitates analytics workshops, recommends reporting improvements, and delivers actionable insights across a global, matrixed organization.

The Business Intelligence Analyst II analyzes business intelligence data to inform decisions, identifies trends, and collaborates with various teams to implement business strategies.

Perform gap analyses across trading data from multiple source systems, identify discrepancies, build automated reports using Python and SQL, create visualizations (Power BI or Python libraries), present findings to stakeholders, and coordinate with upstream/downstream teams to implement logic and document requirements.

Analyze business intelligence data to inform decisions, identify trends, and collaborate with various business areas to model strategies.

Own end-to-end business analyses, financial models, forecasts, KPI dashboards, and executive recommendations. Structure ambiguous problems, test hypotheses, identify operational bottlenecks, improve processes, and coordinate special projects from kickoff through delivery. Work directly with founders and executives in a fully remote environment, communicating complex analysis clearly and driving insights into action.

Analyze large transactional datasets, write and maintain complex SQL queries and stored procedures, optimize query performance, ensure data quality, collaborate cross-functionally, and build reusable data models and analytical frameworks for reporting and dashboards.

Design and maintain scalable data pipelines and curated datasets using EDP and cloud technologies. Build analytical solutions, dashboards, and data models with SQL, BigQuery, Python, and Power BI. Support data quality, governance, metadata, lineage, UAT, and cross-functional stakeholder collaboration to deliver trusted, reusable data products for self-service analytics.

Analyze data, produce recurring reports, identify reconciliation and performance issues, and recommend solutions for key ecommerce accounts. The role develops actionable insights, improves reporting, collaborates with cross-functional teams on process and customer experience improvements, and manages projects through completion. Candidates should understand SQL Server, Power BI, ecommerce fulfillment, and third-party logistics operations.

The Business Intelligence Analyst I analyzes BI data, tracts industry trends, collaborates across departments to model business strategies, and improves processes.

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.

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

Act as liaison between business and technical teams to profile, map, transform, and standardize large-scale insurance data. Create BRDs, STTM (source-to-target) mappings, lineage and design documents, and perform data profiling to ensure data quality across policy, claims, and reinsurance lifecycles.

Transform raw data into actionable insights by collaborating with business units, optimizing SQL queries, enhancing Tableau dashboards, and driving process improvements.