Top Business Intelligence Jobs in Gurgaon

Maintain and improve short- and long-range call center forecasts and models using econometric and time-series methods. Produce daily, weekly, and period-level contact and AHT forecasts, lead staffing reviews, analyze impacts of process changes, present results, and partner with operations and customer service to optimize productivity using Anaplan and Excel.

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.

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.

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

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

Responsible for leading the Business Intelligence & Analytics team, driving data insights, managing projects, and fostering relationships across departments to support business decisions.

Lead the Business Intelligence & Analytics team, driving data-driven insights, managing project deliveries, collaborating with stakeholders, and mentoring team members.

The Data Engineer will design and maintain data models, develop BI solutions, integrate data, and optimize data flows while collaborating with 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 BI platform strategy, manage reporting tools, build scalable dashboards and data products, architect agentic AI for self-service analytics, partner with stakeholders and data teams, and champion BI governance and best practices.

Design, build, and scale analytics models and tooling to optimize transportation networks, reduce shipping costs, and improve EBITDA. Own carrier dashboards, routing and ship-speed optimizers, chargeback systems, and cost benchmarking. Deliver predictive and real-time KPI reporting, provide fast ad-hoc decision support, collaborate cross-functionally, and drive automation and data accuracy across logistics operations.

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.

The BI Developer will create and manage dashboards, automate reporting, coordinate ERP customizations, and enhance workflows using AI tools to improve operational efficiency across the company.

The BI Developer will create interactive dashboards, oversee ERP customization, manage data flows, and leverage AI tools to enhance operational efficiency and reporting.

The Sr. Tableau Administrator will provide dashboard support, manage incidents, own the ticketing system, ensure operational efficiency, and collaborate with teams to improve data quality and user training.

The Power BI Developer will connect with business stakeholders, analyze data, recommend solutions, and act as a bridge between business and tech teams, focusing on data modeling and visualization best practices.

The Power BI Developer will create datasets, dashboards, and reports, collaborate with users to meet requirements, maintain the Power BI environment, and provide user support and training.

The position involves leveraging Power BI for data analysis and reporting within KPMG India, supporting national and international clients across various sectors.

Lead design and delivery of end-to-end Power BI solutions within Microsoft Fabric, including data ingestion, modeling, DAX optimization, and deployment. Drive enterprise data platform and digital transformation projects, implement Fabric artifacts (DF Gen2, Lakehouse, Deployment Pipelines, Notebooks), and collaborate with stakeholders to ensure scalable, high-performance BI implementations.

The Principal Consultant will design and implement data warehouse and BI solutions, integrating data from various sources, and lead client engagement throughout the process.

The Business Intelligence Manager leads Tableau development, data strategy, and stakeholder engagement, while managing a team and ensuring data governance in pharmaceutical client engagements.

The Director of Analytics & Business Intelligence will lead a large analytics organization, drive strategic analytics initiatives, improve operational efficiency, and engagement with business stakeholders across healthcare revenue cycle management.