Must have

- Minimum 5+ years of hands-on Power BI experience, including Power BI Desktop, Power BI Service, and Power BI Report Builder.
- Strong understanding of Microsoft Fabric and Data Engineering concepts, including Lakehouse, Data Warehouse, Data Factory, OneLake, Semantic Models, Spark Notebooks, PySpark, and Delta Lake, with the ability to apply these capabilities to end-to-end BI and analytics solutions.
- Robust proficiency in DAX, Power Query (M), SQL, and Python for data transformation, analytical modelling, and reporting.
- Hands-on experience in dashboard development, data visualization, and UI/UX design, including intuitive layouts, visual hierarchy, interactive reporting, usability, and executive-level dashboards.
- Experience with Power BI performance optimization and development tools, including VS Code, DAX Studio, Tabular Editor, and ALM Toolkit.
- Solid understanding of enterprise data modelling, dimensional modelling, and semantic layer design.
- Experience in developing BI solutions from scratch, covering requirement gathering, data integration, data modelling, report development, testing, deployment, and documentation.
- Experience in production support and maintenance of BI solutions, including troubleshooting, performance tuning, root-cause analysis, incident resolution, and continuous improvement.




- Strong stakeholder management, requirements analysis, and cross-functional collaboration skills.
- Experience with CI/CD and deployment management for Power BI, including Deployment Pipelines, and Agile delivery practices using Azure DevOps or Jira.
- Strong prompt engineering skills and the ability to leverage AI capabilities to improve analytics development and productivity.
- Experience managing tickets, change requests, and incidents through ServiceNow.
- Excellent technical documentation, communication, and presentation skills.

Nice to have:
- Finance domain experience preferred.
- Knowledge of Cost Management, Cost Control, Project Cost Management, or Project Financial Management processes.
- Understanding of project financial concepts, including Budget, Actual Cost, Forecast, Commitments, Cost Variance, and Revenue reporting.
- Experience with Microsoft Azure services, including Azure Storage, Azure Synapse Analytics, and Azure Machine Learning.
- Relevant Microsoft certifications, such as PL-300, DP-600, or other relevant Azure and Microsoft Fabric certifications.

Work experience: 8 10 years Data-related projects: 5 years minimum

Minimum education level: B. Tech, or Masters in business/data analytics

📌 Consultant _Senior Consultant BI & Analytics Hub (Noida)
🏢 Vrac Global Services
📍 Noida