Overview
Skills
Job Details
Power BI Developer including EHR (Epic) Integration Exp.
6+Months
Dallas, TX 75201 (Remote)
Experience Requirement:
- Six to nine years of proficiency in Microsoft Power BI development.
Primary Duties:
Reporting System Transition
- Take charge of reengineering and transitioning reports from Cognos ReportNet/BI to Power BI, focusing on enhanced performance, precision, and user-friendliness.
- Reconstruct outdated reports into contemporary, dynamic dashboards that correspond to the needs of stakeholders.
Data Structure Design & Optimization
- Architect and uphold Power BI semantic layer models utilizing star schema configurations for efficiency.
- As necessary, apply snowflake schema to refine dimensions with a focus on improving database performance.
- Maintain scalable and efficient models that comply with established BI governance protocols.
Power BI Solution Crafting
- Oversee dataset creation and management in Power BI Service, ensuring support for incremental data updates and accommodating high-volume data.
- Formulate complex DAX functions, groupings, and calculated objects in Tabular Editor to facilitate modular time analysis functionalities and decrease duplication efforts.
- Construct dashboards, key performance indicators, and visual representations that deliver straightforward, precise data that meets the needs of healthcare/biological sectors.
Collaborative Engagement with Stakeholders
- Engage closely with healthcare professionals to capture their reporting requirements and establish fundamental clinical and administrative performance metrics.
- Develop preliminary design drafts like wireframes to confirm dashboard concepts prior to implementation.
- Effectively communicate intricate data insights to audiences without technical backgrounds.
Data Harmonization & Stewardship
- Assist in blending data from various systems including Epic (EHR), electronic medical records, insurance claims databases, and enterprise resource planning systems.
- Work in a collaborative environment with data engineering and architectural teams to guarantee accurate ETL processes, data flow, and adherence to governance standards.
- Regularly review and enhance the efficiency of data refresh routines and data processing channels.