Risk Adjustment Analytics Associate — Hybrid

Blue Shield of CA; Oakland (CA); On-site; USD 85,000 - 120,000; Full time

Job summary

Blue Shield of California in Oakland is seeking a data analytics professional to grow in decision analytics and contribute to pricing and risk assessment projects. You will learn core analytics principles, apply techniques to real data, and work with claims, premiums, and membership information to support pricing and risk scoring decisions.

A bachelor’s in a quantitative field and solid data skills are required; risk adjustment and project experience are a plus.

Qualifications

• Bachelor's degree in mathematics, statistics, computer science, or a related field
• Basic analytic and data skills to support reporting, validation, and documentation tasks
• Attention to detail to follow defined processes and quality checks
• Risk Adjustment experience preferred
• Project Management experience preferred

Responsibilities

• Actively learning the core principles of decision analytics with knowledge of the analytic tools and techniques used to acquire and analyze data for reporting and decision making
• Understand, update, and run programs that apply to decision analytic techniques
• Understand claim, premium, membership and/or risk score assignment data at a basic level
• Compile and categorize data, documenting and verifying factors used in computations such as those used in premiums, benefits, member risk data and score submissions and establishing rating and pricing levels
• Participate in the development and implementation of processes for company projects involving departmental or cross-functional teams focused on delivery of new or existing internal/external programs and/or products

Job description

Blue Shield of California in Oakland is seeking a data analytics professional to grow in decision analytics and contribute to pricing and risk assessment projects. You will learn core analytics principles, apply techniques to real data, and work with claims, premiums, and membership information to support pricing and risk scoring decisions.

A bachelor’s in a quantitative field and solid data skills are required; risk adjustment and project experience are a plus.