Job Title: Data Visualization Analyst I

Position Summary:

Risk Adjustment Data Visualization Analyst to design and deliver clear, actionable visual insights that support risk adjustment performance, accuracy, and compliance. This role combines healthcare data knowledge with strong visualization and analytical skills to help clinical, coding, and operational teams understand trends, gaps, and opportunities related to risk adjustment programs.

To be considered for this position, please provide a portfolio of previous work / visualizations developed.

Essential Duties and Responsibilities:

• Design, build, and maintain dashboards and reports related to risk adjustment performance (e.g., risk scores, HCC capture, coding gaps, suspect conditions)
• Translate complex risk adjustment and clinical data into clear, intuitive visualizations for diverse audiences
• Partner with risk adjustment industry, engineering, and analytics teams to understand business questions and reporting needs
• Monitor key performance indicators (KPIs) and trends across populations, providers, and time periods
• Ensure data accuracy, consistency, and alignment with government risk adjustment guidelines
• Automate recurring reports and improve dashboard usability and performance
• Support data validation and reconciliation between source systems and reports
• Prepare visuals and summaries for leadership presentations and operational reviews
Document metrics, logic, and visualization standards

Education and Experience:

• Bachelor’s degree in Data Analytics, Health Informatics, Public Health, Statistics, Computer Science, or a related field
• Experience working with healthcare data, preferably in risk adjustment, quality, or population health
• Strong analytical mindset with attention to detail

Technical Skills

• Proficiency with data visualization tools (e.g., Tableau, Power BI, Looker, or similar)
• Strong SQL skills and experience querying relational databases
• Experience working with large healthcare datasets (claims, eligibility, encounters)
• Proficiency with Excel or Google Sheets
• Experience with Python or R is a plus

Risk Adjustment & Healthcare Knowledge

• Understanding of healthcare data, including medical claims, enrollment, and encounter data
• Knowledge of Medicare Advantage, ACA, or Medicaid risk adjustment programs preferred
• Awareness of compliance and audit considerations is a plus

Preferred Qualifications (Optional)

• Experience supporting coding teams, chart review programs, or provider performance initiatives
• Familiarity with data governance, HIPAA, and healthcare data privacy standards
Experience building executive-level dashboards

Knowledge, Skills, and Abilities:

• Strong data storytelling and visual design skills
• Strong proficiency with product and UX design principles
• Ability to communicate insights to both technical and non-technical stakeholders
• Ability to manage multiple reporting priorities and deadlines
• Collaborative and proactive problem-solving approach