Data Reporting and Analytics Consultant IV - Risk Adjustment, Medicare/Medicaid/ACA

Role will be responsible for risk adjustment model development, maintenance and optimization for Medicare, ACA and Medicaid lines of business. Data mining experience and skill will be essential. Role will be relied upon for collection, cleaning, exploration, transformation, enrichment, and monitoring of large volumes of healthcare data from disparate sources. Position will also be responsible for root cause analysis of any risk score anomalies, support of data risk adjustment tools and analytics environment and execution of data generation and reporting tasks.

• risk adjustment model development, maintenance and optimization for Medicare, ACA and Medicaid lines of business.
• Data mining experience and skill will be essential.
• root cause analysis of any risk score anomalies, support of data risk adjustment tools and analytics environment and execution of data generation and reporting tasks.

• Minimum one (1) year experience in a leadership role with or without direct reports.
• Bachelors degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field and Minimum five (5) years experience in data analytics or a directly related field.

• 401k matching
• Health insurance
• Full-time
• Remote

Kaiser Permanente is committed to pay equity and transparency. The posted pay range is based on possible base salaries for the role and does not include the value of our total rewards package. Actual pay determined at offer will be based on years of relevant work experience, education, certifications, skills and geographic location along with a review of current employees in similar roles to ensure that pay equity is achieved and maintained across Kaiser Permanente.