Top Business Intelligence Jobs in Gurgaon

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.

Lead and manage a business intelligence and visualization team, oversee BI solution delivery, align initiatives with organizational strategy, advance BI methodologies, collaborate with senior leadership, and support team professional development.

Lead and manage a business intelligence and data visualization team, oversee BI solution delivery, align initiatives with organizational strategy, promote innovation in BI methodologies, collaborate with senior leadership, and support team member professional development.

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.

Develop and maintain Power BI dashboards and reports, build data models and optimized DAX measures, perform ETL with Power Query, validate data against sources, optimize performance for large datasets, implement RLS and governance, automate reporting, and collaborate with stakeholders to deliver timely BI solutions.

Design and develop interactive BI dashboards and reports (Power BI, Looker), build user-facing web interfaces with React, perform advanced data analysis, integrate data via SQL and APIs, optimize databases and queries, implement data automation (Python, Airflow), collaborate cross-functionally in an agile environment.

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

Develop internal and client-facing Power BI reports, gather stakeholder requirements, create statements of work and technical documentation, and build secure financial reporting solutions. Responsibilities include advanced DAX, Power Query, data modeling, SQL, systems integration, Power BI Service administration, and translating finance data into actionable insights. The role requires independent execution, client communication, and expertise in financial dashboards covering P&L, EBITDA, margins, utilization, profitability, and budget variance.

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

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, 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.

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.

Perform data analysis, profiling, mapping and transformations for large-scale data applications. Build and publish Power BI reports, design dashboards and KPIs, create source-to-target mappings and lineage, and produce BRDs and design docs. Act as liaison with business SMEs, standardize and consolidate data, and support insurance (P&C) policy, claims and reinsurance data requirements.

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.

Design, develop, and deploy end-to-end BI and analytics solutions in Google Cloud using BigQuery, dbt, and Looker. Translate business requirements into data models and technical specs, build and maintain data pipelines/ELT workflows, deliver Finance reporting and ad hoc analyses, and lead complex BI initiatives to production.