Data Analyst 4 - Short Term - Remote
About The Position
This engagement aims to transform a large Excel extract of potential duplicate patient encounters into a structured, interactive Power BI dashboard that supports data‑quality improvement and operational cleanup. The consultant will work with HIM, data governance, and clinical operations teams to define the criteria and visualizations needed to surface duplicate patterns, encounter clusters, and high‑risk records. The dashboard will help teams quickly identify duplicates, understand root causes, and prioritize remediation efforts. The resource may also be engaged in other Power BI work related to DBHDS as it arises if time in needed. Key Tasks • Conduct requirements sessions with HIM, data governance, and operations • Analyze the structure and quality of the duplicate‑encounter extract • Build a Power BI data model capable of handling large datasets • Develop visualizations for duplicate patterns, encounter groupings, frequency, and severity indicators • Create filters for facility, date ranges, encounter type, and risk level • Implement automated refresh and validation logic • Iterate with stakeholders to refine insights and usability Deliverables • Requirements document and dashboard wireframes • Power BI data model and transformation logic • Duplicate Encounter Identification dashboard • Data dictionary and process documentation • Knowledge‑transfer session with internal staff Milestones • Week 1-3: Requirements gathering & data review • Week 4-8: Data modeling & initial dashboard build • Week 9-10: Stakeholder review & refinement • Week 11-12: Final dashboard delivery & documentation
Requirements
- Power BI & Data Modeling Expertise
- Analytics & Data Interpretation
- Stakeholder Engagement & Requirements Gathering
- Ability to translate extracts and data
- Technical & Tooling Skills
- Training & Knowledge Transfer
- Project & Delivery Skills
Nice To Haves
- Background in operational reporting or IT service management analytics
- Experience with EHR systems (Cerner/Oracle Millennium, AVATAR)
Responsibilities
- Conduct requirements sessions with HIM, data governance, and operations
- Analyze the structure and quality of the duplicate‑encounter extract
- Build a Power BI data model capable of handling large datasets
- Develop visualizations for duplicate patterns, encounter groupings, frequency, and severity indicators
- Create filters for facility, date ranges, encounter type, and risk level
- Implement automated refresh and validation logic
- Iterate with stakeholders to refine insights and usability
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What This Job Offers
Education Level
No Education Listed
Number of Employees
1-10 employees
