Utilize and develop analytic tools to solve complex business challenges and support decision making that can have a considerable impact on the organization and patient health
Support the Medical Cost Management activities, working in a Medical Economics team that supports Business Development and new product efforts
Support the underwriting of capitated risk proposals involving cost & use projections, trend selection/development, and estimation of Evolent’s ability to reduce cost and improve quality
Support the design of financial arrangements that are equitable for both Evolent and our Partners
Support the development of models and approaches aimed at quantifying and articulating our value
Perform research and analysis of complex healthcare claims, eligibility, and pharmacy data to make recommendations based on relevant findings
Draw actionable conclusions from analyses and effectively communicate to internal/external audiences at various levels of the enterprise
Translate analyses into Customer-ready deliverables using available visualization tools
Provide support and facilitate interaction with customers in a manner that fosters expertise and cooperation
Process and validate raw unadjudicated claims data
Use programming skills to explore, examine and interpret large volumes of data in various forms to complete deliverables with minimal assistance and oversight

Requirements

Bachelor’s degree, preferably with a quantitative major (e.g. actuarial, statistics, operations research, mathematics, economics) or healthcare focus (health administration, epidemiology, public health, biology)
1-2 years of professional experience in claims-based healthcare analytics with a payer, provider, clinical vendor, managed care, or related healthcare consulting entity
Ability to communicate clearly with diverse stakeholders to solve problems; ability to translate between business needs and analytical needs
Exceptional analytical and communication skills with the ability to identify and translate insights from quantitative and qualitative data
Proficiency in SQL or SAS database/statistical programming languages or related programming language
Advanced proficiency in Microsoft Excel
Experience in data mining, advanced/ statistical analysis, and data manipulation
Familiarity with healthcare reimbursement methodologies and calculations such as DRGs, Revenue Codes, CPT Codes, RVUs, bundled payments, etc. (Preferred)
Experience using data visualization software (Power BI, Tableau, or similar) (Preferred)
Master’s Degree, especially with a quantitative focus (e.g. data science, machine learning, statistics, mathematics, computer science, or engineering) (Preferred)

Benefits

Health insurance benefits
Bonus component dependent on pre-defined performance factors
Comprehensive benefits to qualifying employees

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

SQLSASdata miningstatistical analysisdata manipulationfinancial modelinghealthcare analyticsquantitative analysisdata visualizationhealthcare claims analysis

Soft skills

analytical skillscommunication skillsproblem-solvingstakeholder engagementtranslating business needsactionable insightscollaborationcustomer interactionresearch skillsdecision making