Healthcare Data Analyst

Healthcare Data Analyst

Posted Today by Aroghia

Negotiable
Undetermined
Remote
Remote

Summary: The Healthcare Data Analyst role focuses on data analysis and interpretation within the healthcare domain, emphasizing claims, risk adjustment, and utilization. The position requires developing predictive models and applying machine learning techniques to enhance provider performance and member risk stratification. Strong technical skills in SQL, Python, and data visualization tools are essential for success in this role. Attention to detail and problem-solving abilities are critical for ensuring data accuracy and effective KPI development.

Key Responsibilities:

  • Data analysis and interpretation
  • Healthcare domain knowledge (claims, RA, HCC, utilization)
  • KPI development and performance measurement
  • Problem-solving and critical thinking
  • Attention to detail and data accuracy
  • Develop and deploy predictive models to identify suspect conditions, predict high-risk members, and improve coding capture strategies
  • Apply ML techniques (classification, regression, clustering) for provider performance segmentation and member risk stratification
  • Data modeling and data validation techniques
  • Statistical analysis (basic to intermediate)
  • Dashboard design and data storytelling

Key Skills:

  • Strong SQL knowledge
  • Stored Procedures
  • Python
  • Snowflake
  • Power BI
  • Machine learning
  • Data modeling and data validation techniques
  • Statistical analysis (basic to intermediate)
  • Dashboard design and data storytelling

Salary (Rate): undetermined

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: Other

Detailed Description From Employer:
Data analysis and interpretation
Healthcare domain knowledge (claims, RA, HCC, utilization)
KPI development and performance measurement
Problem-solving and critical thinking
Attention to detail and data accuracy
Develop and deploy predictive models to: Identify suspect conditions, Predict high-risk members and Improve coding capture strategies
Apply ML techniques (classification, regression, clustering) for: Provider performance segmentation & Member risk stratification
Technical Skills:
Strong SQL knowledge, Stored Procedures, Python, Snowflake, Power BI, Machine learning
Data modeling and data validation techniques
Statistical analysis (basic to intermediate)
Dashboard design and data storytelling