Power BI Developer

• Design, develop, and deploy Power BI dashboards and reports for healthcare analytics use cases.
  
• Build and optimize data models (Fact/Dimension, Star/Snowflake schemas) for performance and scalability.
  
• Write and debug advanced DAX measures , ensuring accuracy and efficiency.
  
• Implement incremental refresh strategies for large and evolving datasets.
  
• Create point-in-time historical dashboards for patient trends, outcomes, and longitudinal analysis.
  
• Develop interactive features such as Drill-through, Drill-down, Bookmarks, Data export and Tooltips .
  
• Build custom visualizations using Power BI visuals, marketplace visuals, or custom scripting.
  
• Work with both DirectQuery and Import mode , optimizing performance based on data size and use case.
  
• Integrate data from Google BigQuery, SQL Server, Azure, AWS, and other healthcare data sources .
  
• Collaborate with clinical, operational, and technical teams to translate requirements into actionable BI solutions .
  
• Ensure data quality, HIPAA compliance, and governance in all reporting solutions.

Requirements Required Skills & Qualifications

• Bachelordegree in Computer Science, Information Technology, Data Analytics, or related field.
  
• 5+ years of experience in BI/reporting with proven expertise in Power BI .
  
• Strong knowledge of DAX, Power Query (M language) , with debugging and performance optimization skills .
  
• Expertise in DirectQuery and Import methods and when to apply each.
  
• Hands-on experience with Google BigQuery and cloud-based data warehouses.
  
• Strong SQL skills for data extraction, transformation, and tuning .
  
• Experience with incremental refresh and handling healthcare datasets .
  
• Ability to design point-in-time dashboards and historical trend analyses.
  
• Excellent problem-solving, analytical, and communication skills.

Preferred

• Prior experience in healthcare analytics (payer, provider, or clinical data) .
  
• Knowledge of HIPAA and healthcare data governance .
  
• Experience with AWS /Azure Data Services.
  
• Familiarity with ETL/ELT processes .
  
• Knowledge of Python or R for advanced analytics or custom visuals.