Top Business Intelligence Jobs in Gurgaon

Manage data management strategy and semantic platform capabilities for Global Servicing. Develop governed semantic models, reusable metrics, curated data products, and standardized data practices. Partner with business, analytics, technology, and enterprise data teams to improve data quality, lineage, access, reliability, and self-service analytics. Lead cross-functional initiatives from requirements through implementation and adoption while supporting modernization, automation, and AI-ready data architecture efforts.

Lead enterprise BI architecture and strategy for insurance analytics. Design Power BI and Tableau dashboards, data models, ETL/ELT pipelines, semantic layers, and cloud-based solutions using Snowflake and Microsoft Fabric. Develop DAX, Power Query, SQL, and Python solutions; establish governance, quality, security, metadata, CI/CD, and performance standards. Enable self-service BI, automate workflows, troubleshoot issues, and mentor BI developers.

Leads global supply chain business intelligence initiatives, setting technical standards for Power BI, Snowflake, SQL, Python, and AI solutions. Oversees architecture, development, testing, deployment, governance, and support while resolving complex technical issues. Partners with business and technical leaders to prioritize work, communicate insights, and guide decisions. Coordinates analysts, manages dependencies, mentors team members, and develops Copilot Studio, language-model, automation, and data-pipeline solutions.

Develop and maintain Power BI dashboards, data models, DAX measures, and visualizations. Use SQL, Python, and Databricks to analyze datasets and commercial KPIs, especially in FMCG and retail. Gather requirements, manage analytics projects end to end, collaborate with stakeholders, and deliver actionable business recommendations. Leverage Power Apps, SharePoint, and syndicated platforms such as Circana to support reporting and business processes.

Designs, develops, and maintains ETL data pipelines that move source data into centralized warehouses. Builds semantic models, complex SQL queries, and optimized datasets for accurate reporting. Collaborates with cloud architects, reporting teams, and stakeholders to translate business requirements into technical solutions. The role requires expertise in SQL, Python, Azure Data Factory, SSIS, Databricks, Azure, SQL Server, Microsoft Fabric, Git, and Azure DevOps.

Leads the design and delivery of finance analytics and data engineering solutions using Microsoft Fabric, Azure, Snowflake, Alteryx, and Python. Builds transformation workflows, financial data models, automation, dashboards, and reporting solutions with Power BI or Tableau. Translates finance problems into scalable analytics solutions, generates insights and narratives, partners with stakeholders, and mentors junior team members.

Own Jetpac’s BI strategy, metrics framework, data models, warehouse pipelines, dashboards, and reporting infrastructure. Analyze acquisition, funnels, cohorts, pricing, retention, attribution, and experiments while translating findings into actionable recommendations for leadership. Partner with marketing, product, finance, CRM, support, and engineering to improve data quality, tracking, governance, and self-service analytics. The role requires strong SQL, data modeling, BI tooling, stakeholder communication, and commercial understanding of consumer-app metrics.

Develop and maintain Power BI dashboards, reports, data models, and DAX calculations. Analyze datasets using SQL and Python to identify trends, performance gaps, and commercial opportunities. Collaborate with stakeholders to define KPIs, translate business requirements into reporting solutions, present insights, and support strategic and operational decisions. Use Power Apps and automation to improve business workflows, while ensuring data quality, documentation, and reporting consistency.

Develop and migrate enterprise BI dashboards, datasets, calculations, semantic models, and data transformations from Domo to Microsoft Fabric and Power BI. Build dimensional and star-schema models, write DAX and Power Query/M transformations, optimize performance, implement security and row-level security, validate reports, troubleshoot issues, and document migration decisions while collaborating with BI teams and stakeholders.

Develop and maintain Power BI dashboards and reports using SQL, SAS, Redshift, and Azure SQL. Integrate and model insurance data, optimize queries and data pipelines, monitor KPIs, and deliver actionable insights to stakeholders. Collaborate with business and technical teams while ensuring data accuracy, governance, privacy, and compliance.

Develop Power BI and Tableau dashboards and reports, perform data analysis to support business decisions, help transition reporting between technology stacks, and use Alteryx for data preparation and transformation.

The Business Intelligence Analyst partners with stakeholders to translate business questions into analytical solutions. Responsibilities include developing analytical models, analyzing performance trends, creating executive presentations, maintaining scalable dashboards and reporting tools, and improving data quality and usability. The role uses Excel, SQL, Power BI, Data Studio, and other BI tools while collaborating with Data Engineering and Data Science teams on infrastructure and advanced analytics.

Leads customer analytics projects using dbt and Snowflake, establishes data and code quality standards, mentors junior analysts, conducts code reviews, documents reusable solutions, manages customer requirements, delivers analytical findings, and identifies expansion opportunities.

Develop and maintain Power BI dashboards, data models, and reporting solutions. Build data connectivity for pipelines and real-time sources, optimize SQL queries, troubleshoot data quality and refresh issues, and manage Power BI Server environments. Analyze business requirements, collaborate with business and technical stakeholders, and communicate technical findings clearly.

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

Supervises data management and governance operations, administering policies and procedures, monitoring data quality metrics and service levels, conducting root cause analysis, and leading corrective actions. The role drives process redesign and continuous improvement, manages stakeholders, mitigates risks, and oversees customer master data management to ensure trusted data supports business and regulatory goals.

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.

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.

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.