Top Business Intelligence Jobs in Gurgaon

Lead design, development, and maintenance of enterprise Power BI dashboards, complex DAX measures, and semantic models. Manage BI support teams in a managed services environment, overseeing incident, change, and release management, SLA/KPI monitoring, capacity planning, and continuous improvement. Define and oversee compliance strategies, audits, and alignment with regulations while collaborating with business and technical stakeholders.

Analyze complex datasets to identify trends and growth opportunities, develop data acquisition and integration strategies, build reports and interactive visualizations, maintain databases, and support stakeholders with actionable insights and data-handling best practices.

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.

Lead end-to-end provider operations and business/marketing analytics across RCM, credentialing, patient access, product analytics, and internal BI. Manage a small BI/analytics team, ensure SQL-powered data layer reliability, enforce report QA and standards, support pre-sales RCM analysis, and deliver client-facing dashboards using Power BI.

Designs and maintains SAP BW/4HANA data models and pipelines, develops end-to-end BI solutions, integrates SAP and non-SAP data, and delivers structured datasets for reporting and analytics. The role includes ETL, data transformation, performance optimization, query and load monitoring, and collaboration with business stakeholders. Candidates need strong SQL, data warehousing, SAP Datasphere, SAP BW on HANA, and SAP BDC experience. Power BI, Business Objects, and ABAP are beneficial.

Lead design and build of data pipelines and ETL using Databricks/Spark, integrate Fenergo APIs, ensure data quality and compliance, analyze data, and develop Power BI dashboards for KYC/AML reporting while collaborating with stakeholders and maintaining governance documentation.

Conduct consultative analytics and deliver executive-level recommendations and ad hoc analyses to business and finance partners. Build self-service dashboards and presentations, perform predictive modeling and time-series forecasting (preferably for workforce optimization), provide cost-benefit analyses for investments, and streamline processes while communicating insights to senior stakeholders.

The role involves leading enterprise data solutions, implementing architectures for data integration and BI, and mentoring teams. It focuses on aligning technical solutions with business goals and engaging with stakeholders.

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.

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

Design, develop, and maintain interactive Power BI dashboards and reports. Collaborate with stakeholders to translate requirements, ensure data accuracy and performance, automate recurring reports using Copilot/AI features, and deliver actionable insights through visualization and storytelling. Troubleshoot and enhance reports, staying current with Power BI and Copilot capabilities.

Design, develop, and maintain interactive Power BI dashboards and reports. Work with stakeholders to gather requirements, ensure data accuracy and performance, automate recurring reports using Copilot/AI features, and deliver actionable insights through strong visualization and storytelling. Troubleshoot issues, implement enhancements, and stay current with Power BI and Copilot capabilities.

Partner with business stakeholders to convert questions into data analyses, build predictive models (regression, decision trees, random forest, SVM), produce visualizations and scorecards in Tableau/PowerBI, surface insights and recommendations, and communicate results to senior leaders. Drive POCs to implementation and handle large structured and unstructured datasets; working knowledge of LLMs/GenAI and deep learning is advantageous.

The Data Engineer will design and maintain data models, develop BI solutions, integrate data, and optimize data flows while collaborating with stakeholders.

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.

Design, develop, and maintain Power BI dashboards and semantic models using Snowflake as the data warehouse. Build optimized SQL queries, DAX calculations, data models, and reusable datasets; implement RLS and data governance; schedule refreshes, deploy to Power BI Service, monitor and tune report and Snowflake performance, and collaborate with stakeholders to translate requirements.

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

Design, develop, and maintain Power BI dashboards and semantic models using Snowflake as the data warehouse. Build efficient SQL queries, DAX calculations, implement RLS, optimize performance, schedule refreshes, and collaborate with stakeholders to translate requirements into scalable BI solutions.

Build and maintain scalable ETL/ELT pipelines on AWS and Snowflake, migrate BI/reporting workloads to Snowflake, configure BI connectors, optimize data models and Snowflake performance, troubleshoot production issues, and collaborate with BI teams and stakeholders.

Design, build, and optimize Power BI dashboards and automated ETL/data pipelines for supply chain KPIs. Integrate SAP, Databricks, and Microsoft Fabric/Azure sources, ensure data integrity and governance, enable predictive analytics, train stakeholders, and drive continuous improvement across supply chain analytics.