Top Business Intelligence Jobs in Gurgaon

Develop and enhance custom software/BI solutions using Teradata BI. Design, code, optimize queries, and maintain data integration and warehousing components. Collaborate with cross-functional teams, document work, and mentor junior engineers while following agile practices.

Analyze large datasets, deliver and enhance business reports and dashboards, maintain data integrity, fulfill ad hoc requests, develop database-integrated analytics solutions, provide business insights, and support process improvements. The role partners with global Equities, Sales, and Trading teams and requires flexibility across regional shifts and occasional weekend needs.

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.

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.

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.

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.

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 business intelligence and data visualization solutions using Power BI, semantic modeling, and DAX. Deliver managed reporting and analytics services for business users, work independently in ambiguous situations, and build solutions with minimal supervision. Experience with Microsoft Fabric, Lakehouse and Warehouse architectures, Azure DevOps, AI-assisted development tools, and the US property and casualty insurance domain is advantageous.

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.

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.

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.

Lead BI architecture and solution design; build and optimize Power BI semantic models and Tableau data sources; write and tune complex DAX, Power Query, and SQL; design dimensional models; establish governance, CI/CD, and self-service BI; mentor BI developers and partner with data engineering to ensure analytics-ready data.

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.

Design, build, and optimize Looker BI solutions (LookML, dashboards, explores) on cloud data platforms. Perform ETL, exploratory analysis, query tuning, enforce governance, manage client projects, and deliver actionable insights using SQL, BigQuery, and Python.

Design and publish interactive Power BI/SSRS reports and dashboards, write complex DAX and T-SQL, build ETL with SSIS/Azure, connect and extract data from SQL Server/Excel/APIs, support SSAS/MDX cubes, and automate/report refresh processes while communicating with stakeholders.

Migrate and rebuild enterprise supply chain and finance reports from MicroStrategy to Metabase. Develop and optimize dashboards, write and tune complex SQL, validate and reconcile data, and collaborate with supply chain, finance, and data engineering stakeholders to ensure accurate, performant BI reporting.

Lead delivery for a 10-15 person analytics and visualization team for a major insurance client. Define analytic and technical requirements, build and optimize data pipelines and predictive models, develop PowerBI dashboards, handle large structured and unstructured datasets using SQL, SAS, Python/PySpark, document processes, mentor team members, and manage client stakeholder interactions.