Business Intelligence Developer

• Develop and optimize Power BI solutions using advanced DAX, including measures, time intelligence, and performance optimization patterns.
• Design and maintain data models based on strong data modeling principles (star schema, relationships, cardinality).
• Write and validate SQL queries for data extraction, transformation, and analysis.
• Build and maintain reporting solutions using Power BI, including dashboards, dataflows, reusable templates, and Paginated Reports.
• Implement performance optimization techniques, including incremental refresh and handling large datasets.
• Implement and manage Row-Level Security (RLS) for controlled data access.
• Integrate Power BI solutions with cloud and data engineering platforms such as Snowflake, Databricks, and Microsoft Fabric.
• Work across Dev, Test, and Production environments following proper deployment workflows.
• Use Git for version control, including branching, pull requests, and deployment processes.
• Produce clear technical and business-facing documentation for reports, models, and solutions.

BI Developer

• Design, build, and maintain scalable data pipelines to process large volumes of structured and unstructured data
• Develop and manage dashboards and reports using Power BI and Domo to support business and operational insights
• Transform and model complex datasets into actionable and user-friendly visualizations
• Ensure high data quality, consistency, and performance across data systems
• Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions
• Optimize data workflows and reporting systems for speed and efficiency
• Troubleshoot and resolve data issues on time.

Data Engineer, BI Developer – Power BI, Domo

• Collect, analyze, and interpret healthcare data to identify trends and insights.
• Develop and maintain dashboards, reports, and visualizations using BI tools such as Power BI or Tableau.
• Collaborate with clinical and administrative teams to understand data needs and provide tailored analytics solutions.
• Monitor key performance indicators (KPIs) to assess operational efficiency and patient care quality.
• Support the implementation of data-driven strategies to improve hospital services and resource allocation.
• Ensure data accuracy, integrity, and compliance with healthcare regulations and standards.
• Present findings and recommendations to stakeholders, facilitating data-informed decision-making processes.
• Participate in cross-functional projects to integrate BI solutions with existing hospital systems and workflows.

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