Top Business Intelligence Jobs in Gurgaon

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 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.

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.

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.

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.

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.

Design, build, and optimize Looker BI solutions (LookML, dashboards, explores). Work with GCP/BigQuery for large-scale data, perform EDA, design ETL, tune queries, enforce governance, manage client projects, and deliver actionable insights using SQL, Python, and version control.

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.

Develop Power BI applications for consulting clients across the software development lifecycle, including requirements gathering, technical design, coding, testing, troubleshooting, documentation, deployment, and support. Collaborate with solution architects and technical leads, follow software development best practices, debug issues, and work effectively in Agile/Scrum teams.

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

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.

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.

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.

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

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