Data Analyst

Overview The 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 time allows. 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 Produce requirements document and dashboard wireframes Develop Power BI data model and transformation logic Create data dictionary and process documentation Conduct knowledge‑transfer session with internal staff Milestones Week1‑3: Requirements gathering & data review Required Skills 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 Background in operational reporting or IT service management analytics Nice to Have Experience with EHR systems (Cerner/Oracle Millennium, AVATAR) #J-18808-Ljbffr