Senior Health Economics Analyst

Overview

The Data Science and Health Economics Team provides advanced analytical support across VNS Health Plans. We leverage big data to develop insights and to support strategic decisions for the agency. Meaningful, appropriate use of data is central to the success of our organization. We are looking for an ambitious and curious senior health economics analyst to join our team.

Compensation Range:$93,400.00 - $116,800.00 Annual

What We Provide

• Referral bonus opportunities     
• Generous paid time off (PTO), starting at 30 days of paid time off and 9 company holidays   
• Health insurance plan for you and your loved ones, Medical, Dental, Vision, Life Disability    
• Employer-matched retirement saving funds   
• Personal and financial wellness programs    
• Pre-tax flexible spending accounts (FSAs) for healthcare and dependent care     
• Generous tuition reimbursement for qualifying degrees   
• Opportunities for professional growth and career advancement    
• Internal mobility, generous tuition reimbursement, CEU credits, and advancement opportunities     

What You Will Do

The Senior Health Economics Analyst will join a core group of analysts who play an important role in generating strategic insights across VNS Health Plans. Here are key areas of focus:

• Medical Expense Utilization – “How are costs and utilization trending over time? What are the root causes of our largest drivers of utilization? Are our spending patterns in line with our revenues and the severity of our membership? “Our analysts are knowledgeable about medical claims data and the risk-adjustment models that determine our revenues; they analyze opportunities for cost saving strategies; identify patterns of utilization among providers, member cohorts and longitudinally over our member’s continuum of care.

• Policy – “What is the impact of health care policy on our patient population? On our most vulnerable members? How will new payment methods affect the way we ensure quality care while managing costs? What partnerships can we develop to ensure that our members continue receiving optimal care?” Our analysts are well-versed in healthcare policy; analyze areas for meaningful value investments that focus on improving health outcomes while minimizing spending.

• Clinical – “Who are our most vulnerable members? What can we do to prevent or mitigate their poor health outcomes? When is the best time to implement these actions?” How are our clinical initiatives performing from a clinical quality and financial perspective? This area of analytics examines the drivers of clinical outcomes; analyzes opportunities for managing risk-based populations; evaluates the effectiveness of programs and interventions that aim to improve member outcomes.

You Are:

• Looking for an opportunity to perform hands-on data analysis to solve a wide variety of hard business problems while working alongside clinical/business stakeholders and executives

• Driven by curiosity and a passion to learn, you thrive in situations where you can bring clarity to ambiguous and multi-faceted problems

• A logical thinker who is comfortable learning new programming languages and computing applications independently

• Obsessive about streamlining data and modeling processes; if you find you or your colleagues doing something several times, you create a standard reproducible workflow

• Love the challenge of exploring new data sources while practicing a healthy skepticism about data; when you find data that looks wrong, you are emotionally compelled to figure out why

• Have a desire to use your analytical skills to make measurable impacts on the lives of patients

Qualifications

Education:

• BS in Data Analytics, Statistics, Biostatistics, Mathematics, Data Science, Econometrics, Epidemiology, Health Administration, or other quantitative field required. MS preferred.

Work Experience:

• 4+ years of professional experience in applied data analysis, interpretation, and presentation in the healthcare industry

• Experience with statistical/mathematical software (e.g., R, Python, MATLAB, SAS) and data querying languages (e.g., SQL, PLSQL) with demonstrated ability to learn and wield multiple analytical tools

• Solid understanding of relational databases

• Demonstrated experience executing reproducible and rigorous analyses

• Strong verbal, visual, and written skills, with experience communicating results of com