Top Business Intelligence Jobs in Gurgaon

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.

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.

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.

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.

Designs, develops, and tests data warehouse, data integration, and business intelligence solutions using Oracle platforms and related technologies. Translates client requirements into technical specifications, leads implementations, provides technical guidance, and conducts client training and workshops. Mentors resources, supports internal initiatives, and applies NSAW best practices while advising stakeholders throughout delivery.

Develop and maintain enterprise BI solutions, dashboards, reports, data models, and ETL processes. Translate business requirements into scalable analytics solutions, define KPIs, analyze complex datasets, ensure data quality and governance, optimize performance, resolve reporting issues, establish BI standards, and mentor junior developers while partnering with technical and business stakeholders.

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.

Designs and leads enterprise business intelligence and analytics solutions using Power BI, Microsoft Fabric, Snowflake, Azure Data Factory, and modern data architectures. Responsibilities include developing semantic models, datasets, dashboards, data pipelines, data products, and scalable data platforms; implementing governance, quality, lineage, and metadata practices; enabling self-service analytics; optimizing performance; evaluating emerging tools such as Promethium; and advising stakeholders while mentoring data teams.

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.

Develops Power BI dashboards, gathers stakeholder requirements, analyzes business metrics, and delivers actionable insights. Leads BI projects, mentors junior team members, maintains documentation and process compliance, supports data automation, and collaborates with IT and business solutions teams on data initiatives. Requires advanced Excel and SQL skills, expert Power BI knowledge, large dataset experience, and strong stakeholder and team management capabilities.

Designs and maintains Power BI dashboards, reports, KPI scorecards, and Analysis Services models. Connects and transforms data from multiple sources, develops DAX calculations, implements row-level security, and optimizes queries and dashboard performance. Translates business requirements into scalable analytics solutions, collaborates with UX/UI teams, and engages stakeholders to deliver tailored insights. The role also supports data modeling, ETL, governance, and large-scale data warehousing initiatives.

Develop Power BI reports, dashboards, KPI scorecards, and advanced DAX calculations. Build tabular and multidimensional Analysis Services models, connect and transform data, implement row-level security, and optimize dashboard performance. The role requires SQL, data modeling, ETL, data warehousing, governance, and experience with Microsoft BI technologies, Azure, Synapse, Tableau, and SAP. Responsibilities include understanding client requirements, designing reporting solutions, identifying data issues, creating presentations, and collaborating with customers, UX/UI teams, and internal stakeholders.

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 global business intelligence strategy, reporting, analytics, governance, and team capability development. Owns Tableau-to-Power BI migration, develops complex data models and executive dashboards, validates metrics, and delivers actionable commercial and digital media insights. Partners with global and regional stakeholders to translate business needs into scalable BI solutions, drive adoption through training and support, and identify cross-market opportunities. Guides junior developers and promotes analytical best practices, data storytelling, performance optimization, and strong governance.

The role involves analyzing business intelligence data, identifying trends, collaborating on business strategies, and continuously improving processes. Candidates should possess a degree and have 1-2 years of experience.

Work with Sports & Media clients to design, build, and maintain BI dashboards and reports using Tableau. Use SQL for data extraction and analysis, support data model refinement, improve visualizations and storytelling, and help develop efficient data pipelines to deliver actionable insights to technical and non-technical stakeholders.