Top Business Intelligence Jobs in Gurgaon

Design, develop, and maintain scalable ETL pipelines and Looker-based analytics solutions. Build reusable data models across Teradata, SQL Server, Oracle, and Hadoop to support BI, reporting, and business analysis. Maintain Looker security and access models, oversee analytics projects, validate models, define business metrics, mentor analysts, and drive innovation.

Leads reinsurance settlement operations, client reporting, reconciliations, data integrity, controls, and risk resolution. Uses Power BI, Alteryx, Power Query, AI tools, and automation to analyze large datasets, improve reporting, modernize workflows, reduce cycle times, and strengthen operational controls. Partners with Finance, Technology, Operations, and vendors on system integrations, UAT, process redesign, documentation, and continuous improvement.

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.

Develop and maintain Power BI dashboards and reports using SQL, SAS, Redshift, and Azure SQL. Integrate and model insurance data, optimize queries and data pipelines, monitor KPIs, and deliver actionable insights to stakeholders. Collaborate with business and technical teams while ensuring data accuracy, governance, privacy, and compliance.

Develop and maintain Power BI dashboards, reports, semantic models, and analytical solutions. Gather stakeholder requirements, define KPIs, build DAX and Power Query transformations, validate data, optimize performance, and migrate legacy BI reports to Power BI. Collaborate with data engineering and analytics teams, support data governance and security, troubleshoot reporting issues, and deliver BI solutions through Agile practices for insurance reporting and analytics.

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 Power BI and Tableau dashboards and reports, perform data analysis to support business decisions, help transition reporting between technology stacks, and use Alteryx for data preparation and transformation.

Develop financial dashboards and reporting solutions in Power BI and Microsoft Fabric for Finance, FP&A, Technology leadership, and executive stakeholders. Build P&L, budget, variance, forecast, KPI, waterfall, drill-through, and drill-down reports using complex DAX, semantic models, dimensional modeling, and financial data structures. Implement row-level security, optimize performance, and support large-scale Fabric deployments.

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.

Leads enterprise Power BI and Microsoft Fabric development, administration, optimization, governance, and production support. Develops reports, semantic models, dataflows, and paginated reports; manages workspaces, gateways, security, refreshes, capacities, and deployments. Troubleshoots complex platform and performance issues, supports Fabric workloads, establishes governance and operating standards, manages incidents, and coordinates with technical and vendor teams. Provides technical guidance, documentation, architecture recommendations, and stakeholder communications.

Lead Power BI and Microsoft Fabric development, administration, governance, performance optimization, and production support. Develop reports, semantic models, dataflows, and paginated reports; manage workspaces, gateways, refreshes, security, capacities, and APIs. Support Fabric workloads including OneLake, Lakehouse, Warehouse, Pipelines, and Notebooks. Troubleshoot complex incidents, conduct root-cause analysis, establish platform standards, guide developers, and coordinate with technical teams to deliver secure, scalable enterprise data-platform 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.

Develops and applies data analytics and business process knowledge to identify, analyze, and communicate actionable insights that support business decisions and competitive opportunities. The role contributes to reporting and business intelligence solutions, works on moderately complex projects, resolves technical problems, and applies judgment to deliver accurate analytical results.

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.

Develop and maintain Power BI dashboards, data models, and reporting solutions. Build data connectivity for pipelines and real-time sources, optimize SQL queries, troubleshoot data quality and refresh issues, and manage Power BI Server environments. Analyze business requirements, collaborate with business and technical stakeholders, and communicate technical findings clearly.

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

Supervises data management and governance operations, administering policies and procedures, monitoring data quality metrics and service levels, conducting root cause analysis, and leading corrective actions. The role drives process redesign and continuous improvement, manages stakeholders, mitigates risks, and oversees customer master data management to ensure trusted data supports business and regulatory goals.

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

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.

Lead and manage a business intelligence and data visualization team, oversee BI solution delivery, align initiatives with organizational strategy, promote innovation in BI methodologies, collaborate with senior leadership, and support team member professional development.

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

Design, implement and optimize BusinessObjects reporting solutions and universes. Build dashboards, reports and repositories; integrate multiple data sources; tune Oracle/SQL Server scripts; apply BI/DW best practices, security (data reduction, Section Access), and large-data optimizations such as Data Islands.

Design, develop and implement BusinessObjects reporting solutions and dashboards. Build universes, configure/install BO, optimize large datasets, integrate multiple data sources, apply security (Section Access), and perform Oracle/SQL Server scripting and performance tuning.

Design, develop and deploy SAP BusinessObjects reporting solutions and universes; configure and optimize BO installations; integrate and tune large data sets (Oracle/SQL Server); implement BO security (Data Reduction, Section Access); collaborate on DW/BI architecture and resolve performance issues.