Innovaccer Analytics
Healthcare
AnalystActuarial
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Analyst Actuarial at Innovaccer Analytics. Skills: Actuarial analysis, Healthcare analytics, Data analysis, SQL queries. Compile healthcare claims data. Clean healthcare claims data”
Industry & Context.
Quantitative reasoning
What They're Looking For.
Must Have
Bachelor's degree in Actuarial Science, Mathematics, Statistics, Economics, or a related quantitative field, Minimum 2 years of relevant work experience in healthcare, insurance, or financial analytics, Completion of at least 1–2 SOA actuarial exams required, Basic proficiency in SQL, Basic proficiency in Microsoft Excel, Quantitative reasoning skills
Nice to Have
Completion of 3+ SOA actuarial exams, Experience with SAS, Experience with R, Experience with Python, Familiarity with healthcare claims data structures, Familiarity with enrollment files, Familiarity with HEDIS measures, Exposure to CCW VRDC, Exposure to other CMS Medicare data platforms, Prior experience in an actuarial role, Prior experience in a healthcare analytics role, Internships
What You'll Do.
Compile healthcare claims data
Clean healthcare claims data
Validate healthcare claims data
Compile enrollment data
Clean enrollment data
Validate enrollment data
Assist with medical cost analyses
Assist with utilization analyses
Prepare PMPM reporting
Perform benchmark comparisons
Support rate development
Prepare data exhibits
Prepare trend summaries
Maintain actuarial models
Update actuarial models
Maintain actuarial exhibits
Update actuarial exhibits
Prepare exhibits for client deliverables
Prepare tables for client deliverables
Prepare documentation for client deliverables
Prepare exhibits for internal reports
Prepare tables for internal reports
Prepare documentation for internal reports
Research CMS program guidelines
Research rate notices
Research policy updates
Participate in internal training sessions
Support knowledge sharing
Pursue actuarial exam progress
How You'll Work.
Team & Collaboration
Actuarial consulting team; Collaborative environment; Knowledge sharing across team
Communication Scope
Written communication; Verbal communication
Full Job Description
**About the Role** The Actuarial Analyst will provide analytical support to Humbi.AI's actuarial consulting team, contributing to healthcare cost analysis, data preparation, model maintenance, and report production. This is an excellent opportunity for an actuarial professional to develop deep expertise in Medicare, Medicaid, and commercial healthcare markets while gaining exposure to innovative value-based care analytics in a collaborative, learning-focused environment.Exam study support and mentorship are core commitments of our program. **A Day in the Life** * Compile, clean, and validate healthcare claims and enrollment data for use in actuarial analyses. * Assist with medical cost and utilization analyses, including trend calculations, PMPM reporting, and benchmark comparisons. * Support rate development and rate review work by preparing data exhibits, trend summaries, and documentation under the direction of senior staff. * Maintain and update actuarial models and exhibits under the direction of senior staff. * Write and maintain SQL queries and data scripts to extract and manipulate data from healthcare claims databases. * Prepare exhibits, tables, and supporting documentation for client deliverables and internal reports. * Research CMS program guidelines, rate notices, and policy updates to support team knowledge. * Participate in internal training sessions and support knowledge sharing across the actuarial team. * Actively pursue actuarial exam progress with support from the company's study program. ** What You Need** * Bachelor's degree in Actuarial Science, Mathematics, Statistics, Economics, or a related quantitative field. * Minimum 2 years of relevant work experience in healthcare, insurance, or financial analytics. * Completion of at least 1–2 SOA actuarial exams required. * Basic proficiency in SQL and Microsoft Excel for data analysis. * Strong attention to detail and quantitative reasoning skills. * Ability to learn quickly and thrive in a fast-pac
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