Job Description - Power BI Developer

Company: Finarb Analytics Consulting Pvt. Ltd.
Position: Power BI Developer
Employment Type: Full-Time
Experience: 4–7 Years
Location: India (To Be Confirmed)


About the Role


We are seeking an experienced, hands-on Power BI Developer to design, develop, and maintain enterprise-grade business intelligence solutions.


The ideal candidate will have strong expertise in Power BI, DAX, Power Query, SQL, and dimensional data modeling, with experience working in Microsoft Azure and Microsoft Fabric environments.


The role involves translating complex business requirements into intuitive, reliable, and high-performance dashboards and reports while ensuring data accuracy, security, and scalability.


The successful candidate will collaborate closely with business stakeholders, data engineers, and data quality teams to support ongoing BI operations and the organization's transition toward Microsoft Fabric.


Key Responsibilities


1. Power BI Development & Reporting

  • Design, develop, deploy, and maintain interactive Power BI reports and dashboards.
  • Translate business requirements into meaningful KPIs, metrics, and actionable visualizations.
  • Build reusable reporting components and standardized reporting solutions.
  • Develop advanced DAX measures, calculated columns, and calculation logic.
  • Implement drill-through, bookmarks, tooltips, slicers, and other interactive reporting features.
  • Ensure reports are accurate, user-friendly, and aligned with business expectations.

2. Data Modeling & Transformation

  • Design and maintain efficient semantic models using star schema and dimensional modeling principles.
  • Develop and optimize Power Query (M) transformations.
  • Integrate data from SQL Server, Azure-based platforms, and other enterprise sources.
  • Establish relationships, hierarchies, measures, and reusable business logic.
  • Ensure consistency of metrics and definitions across dashboards.

3. Performance Optimization

  • Optimize DAX queries, semantic models, and report performance.
  • Diagnose and resolve slow-loading reports, inefficient calculations, and refresh failures.
  • Implement appropriate import, DirectQuery, and composite model strategies.
  • Use Power BI Performance Analyzer, DAX Studio, and other diagnostic tools.
  • Optimize dataset refresh schedules and resource utilization.

4. Data Validation & Quality

  • Validate report outputs against source systems and agreed business rules.
  • Reconcile reporting discrepancies across SQL Server, data pipelines, and Power BI.
  • Collaborate with data quality engineers to identify and resolve data inconsistencies.
  • Conduct unit testing, regression testing, and user acceptance testing.
  • Maintain documentation of reporting logic, calculations, and data lineage.

5. Microsoft Fabric & Azure Integration

  • Develop and maintain Power BI solutions integrated with Microsoft Fabric.
  • Work with Fabric Lakehouse, Warehouse, and semantic models.
  • Support reporting migration from existing SQL Server and Azure environments into Microsoft Fabric.
  • Collaborate with Fabric data engineers to ensure reporting readiness and compatibility.
  • Assist in validating migrated reports, data models, and business calculations.

6. Governance, Security & Production Support

  • Implement Row-Level Security (RLS) and appropriate workspace access controls.
  • Manage Power BI workspaces, applications, publishing, and deployment processes.
  • Troubleshoot production reporting incidents and refresh failures.
  • Maintain version control, documentation, and deployment standards.
  • Support business users and continuously improve existing reporting solutions.

Expected Outcomes

The successful candidate will be expected to:

  1. Deliver reliable, high-quality Power BI dashboards and reports aligned with business requirements.
  2. Improve the performance and maintainability of existing reporting solutions.
  3. Ensure consistency and accuracy of business metrics across reports.
  4. Support the transition to Microsoft Fabric without disrupting existing reporting operations.
  5. Establish reusable semantic models and scalable reporting practices.
  6. Provide dependable ongoing production support and timely issue resolution.

About Finarb

Finarb Analytics Consulting is a data, analytics, and technology consulting firm helping organizations transform complex data into actionable business insights through advanced analytics, business intelligence, AI, and modern data platforms.

Website: https://www.finarb.ai



Requirements

Required Technical Skills

Technology / SkillRequirement
Power BI Desktop & ServiceAdvanced, hands-on expertise
DAXAdvanced calculations and optimization
Power Query (M)Strong transformation skills
SQL / T-SQLAdvanced querying, joins, CTEs, window functions
Data ModelingStar schema, dimensional models, semantic models
Microsoft FabricWorking knowledge of Fabric architecture and integration
SQL ServerStrong experience with relational data sources
Azure Data FactoryUnderstanding of pipelines and data integration
Report PerformanceQuery tuning, model optimization, refresh troubleshooting
SecurityRLS, workspace permissions, data access controls
Testing & ValidationReconciliation, report testing, data accuracy

Preferred Qualifications

  • 4–7 years of relevant experience in business intelligence or data analytics development.
  • At least 3 years of hands-on Power BI development experience.
  • Strong SQL programming and data troubleshooting capabilities.
  • Experience developing enterprise dashboards involving complex data models and multiple data sources.
  • Experience working with Microsoft Fabric, including Direct Lake semantic models.
  • Familiarity with Azure Data Factory, Azure SQL Database, or Azure Data Lake Storage.
  • Experience migrating reports or datasets between enterprise data platforms.
  • Familiarity with Power BI deployment pipelines, Git integration, and CI/CD practices.
  • Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) or Power BI Data Analyst Associate (PL-300) certification is an advantage.

Key Competencies

  • Strong analytical and problem-solving skills.
  • Ability to independently investigate data discrepancies and reporting issues.
  • Attention to detail and commitment to data accuracy.
  • Clear communication with business and technical stakeholders.
  • Ability to manage multiple reporting priorities in a production environment.
  • Ownership mindset with a focus on reliable, maintainable solutions.


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