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   Current UPMC employees must apply in HR Direct

Health Economics Analyst, Lead


UPMC Health Plan has an exciting opportunity for a Lead Health Economics Analyst in its Health Economics department, located in downtown Pittsburgh at the U.S. Steel Tower.

The Lead Health Economics Analyst will be responsible for leading development and specification, on a project basis, of economic models to assess potential costs, cost-effectiveness, and budgetary impact of diagnostic, prognostic, therapeutic, and other clinical interventions.   This includes, with guidance from the Sr. Director of Health Economics, review and editing of key deliverables, assisting in identification and use of data and literature resources for model estimations, conducting rigorous review of internal assumptions, and development and articulation of oral and written presentations for internal and external stakeholders.

These functions must be done while weighting the practical considerations and potential barriers that need to be overcome in order to successfully implement new programs and processes.

  • Independently, or in teams, produce a combination of quantitative financial analysis and clinical utilization analysis to produce new insights into drivers for Health Plan performance.

  • Demonstrate leadership in development of analysis plans for multiple, complex projects to be carried out by the HE Lead or team members.

  • Independently prioritize and manage advanced quantitative and/or statistical analytics projects simultaneously with minimal supervision.

  • Engage directly with managers and directors in other business functions to advise regarding analytics project specifications, as a representative of DOHE Leadership.

  • Routinely apply advanced data extraction and manipulation skills, complex analysis methods, statistical analysis, and data visualization tools to daily work.

  • Routinely analyze financial and clinical results, including output from predictive models.

  • Produce customer-oriented reports that provide business context for the analysis and recommendations, requiring only moderate revision by the Sr. Director of Health Economics or other DOHE Leadership.

  • Demonstrate attention to detail and initiative in discovering errors in data or analyses, or determining the need for addition follow-up analysis arising from the original assignment.

  • Develop knowledge and expert understanding of all products and benefit designs for UPMC Health Plan insurance offerings, across all lines of business, to facilitate analysis.

  • Health economics is a fluid, dynamic, fast-paced environment. The successful employee is comfortable with ambiguity in priorities and is able to maintain professionalism and a team-player attitude in the face of analytical challenges of moderate-to-high complexity.

  • Consistently demonstrate a strong customer orientation, producing analyses on-time and communicating results effectively.

  • Familiarization with basic medical claims terminology in order to properly interpret, through the application of quantitative analytics, the impact of care delivery and finance on Health Plan performance.



  • Bachelor's degree in business, mathematics, statistics, health care management, decision sciences, or a similar, quantitative field. Master's degree preferred.
  • Minimum of four-to-six years of work experience in a quantitative job function; seven years are preferred.
  • Demonstrated expertise in particularly-relevant analytical methods or health care business domain (payer/provider) may reduce time-in-position requirements.
  • Apply analytical and statistical software tools to produce complex, quantitative analyses of the health insurance industry.
  • Work typically includes the use of statistical analyses, predictive models, or dynamic business models. Demonstrate consistent application of strong problem solving skills in the creation and interpretation of quantitative analyses, and assist the supervisor in development of analysis plans.
  • Interpret and communicate to management and colleagues, verbally and through written reports, the results of complex, quantitative analysis.
  • Prior experience with financial and/or clinical modeling or data analysis is required.
  • Demonstrate prior application of analytics methods specifically to health insurance or health care delivery industry data at the senior analyst level.
  • Ability to leverage leading-edge analytics experience gained in other industries (e.g., population segmentation, risk analysis, optimization analytics, real-time analytics) to advance health care analytics will be strongly considered in lieu of health care experience.
  • General knowledge of business and economic principles strengthens the application.The successful candidate will have senior analyst-level experience using SQL, SAS, or R to conduct analysis, i.e., prior experience independently programming complex business or statistical analyses is required.
  • Demonstrated application of a similar programming language or analysis tool such as SPSS, STATA, or C++ may also be acceptable.
  • The ability to extract and manipulate data from large, complex data sets with only occasion supervision necessary.
  • The ability to independently apply multiple advanced quantitative analytics, business modeling, and intermediate statistical analysis methods, with minimal supervision.
  • Routinely use the most advanced quantitative features of Excel as a lower-level tool to supplement the use of advanced analysis tools.
  • Data visualization experience using software packages such as Tableau or ArcGIS is highly desirable, and application to work is expected on a regular basis.

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