Top Business Intelligence Jobs in Gurgaon

Analyze market insights, create Power BI dashboards, and support firm-wide strategic objectives by enhancing data visualization and reporting performance.

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 BI Analyst I will analyze business intelligence data to guide product decisions, evaluate industry trends, and model business strategies in collaboration with various departments.

As a Business Intelligence Data Engineer, you'll develop scalable data architectures and models, manage data pipelines, and enhance analytics using AI tools.

The Business Analyst will utilize AWS QuickSight and Amazon Q AI to enhance Revenue Cycle Management through intelligent analytics and dashboard creation, focusing on improving financial workflows in healthcare.

As a Power BI Developer, you'll design and maintain interactive dashboards and reports, optimize existing systems, manage data security, and collaborate with stakeholders to present actionable insights.

Transform raw data into actionable insights by collaborating with business units, optimizing SQL queries, enhancing Tableau dashboards, and driving process improvements.

As a Business Intelligence Engineer, design and maintain data pipelines and models to support analytics, ensuring high-quality data accessibility and governance.

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

Lead migration from MSSQL/MicroStrategy to Databricks and Power BI, develop data models, and ensure data quality for analytics solutions.

As the Manager of BI, you will lead data engineering teams, design data pipelines, manage large datasets, and ensure data quality while collaborating with business stakeholders.

Responsible for implementing best practices in business processes, creating KPIs, managing performance metrics, driving dashboards, and improving data quality.

Design, build, and test data warehouse and BI solutions. Lead product implementation and conduct training and workshops for clients. Manage data integration projects and utilize various BI tools.