Top Business Intelligence Jobs in Gurgaon

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.

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

The Data Manager oversees data management across Global Development Services, focusing on data integrity, governance, and analytics. Responsibilities include managing project cost databases, implementing risk assessment models, and driving data optimization across services.

Lead development and delivery of operational metrics, dashboards and automated analytics to inform decision-making. Partner with stakeholders and technology teams to build scalable reporting, ensure data governance and quality, drive continuous improvement, and present insights to senior leadership. Manage teams, controls and transformation initiatives.

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

Lead people data governance efforts: define and enforce data quality standards, manage data lineage and catalogs, implement governance tools and monitoring, standardize BI/dashboard practices, and collaborate with business partners to ensure secure, accurate, and compliant people data for reporting and decision-making.

Design, build, and maintain interactive Power BI dashboards and ETL processes, validate and optimize data/report performance, document sources and logic, support stakeholders, and develop AI-enabled solutions using cloud and low/no-code platforms.

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.

Design, build, and maintain Tableau dashboards and automated reporting pipelines. Use Python (pandas, NumPy) and advanced SQL to extract, transform, model, and optimize data from cloud warehouses. Implement report automation, version control (Git), RLS/data governance, performance tuning, and translate analyses into business-ready insights for stakeholders.

Define target-state Power BI architecture and governance, design tenant-to-tenant migration approach, create factory runbooks and validation gates, coordinate identity/service-principal dependencies, troubleshoot refresh and permission failures, and deliver operational reporting and exception frameworks to ensure migration success and ongoing reporting continuity.

Lead enterprise BI strategy, build scalable reporting frameworks, deliver executive dashboards and self-service analytics, ensure data quality and governance, collaborate with data engineering and business stakeholders, and mentor high-performing BI teams to drive data-driven decisions.

Design, develop, and maintain OBIEE/OAS reports, dashboards, and the RPD repository. Gather requirements, implement data/object-level security, optimize performance across OBIEE and ODI, write advanced Oracle SQL, troubleshoot issues, and collaborate with cross-functional teams while following DevOps and Agile practices.

Lead measurement planning, weekly reporting, media and creative testing/analysis, and competitive research. Manage project timelines, communicate progress to leadership, run client calls, develop media/creative strategies, and produce measurement plans and reports aligned to client business objectives.

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.

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.

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.

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.

Design, build, and maintain BI solutions and dashboards using Power BI and Sigma Computing. Connect and transform data sources, create reports, enable self-service analytics, train users, and translate complex business needs into actionable reports. Apply advanced SQL, data modeling, and analytics to derive insights and communicate findings through visual storytelling.

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.

Design, develop, and maintain interactive Power BI and Tableau dashboards and semantic models. Create advanced DAX measures and Power Query transformations, troubleshoot performance and data quality, build dimensional models, define KPIs and executive reports, enable self-service analytics, collaborate with data engineering, support BI deployments/migrations, and document BI solutions and processes.

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.