Health Economics Analyst Intermediate - Medical Cost Initiatives (Remote)

UPMC

8d•Remote

About The Position

The UPMC Health Plan is seeking an Intermediate Health Economics Analyst for a fully remote role where they will join the Medical Cost Initiatives Team within in our Medical Economics Department. A successful Health Economics Analyst, Intermediate will be expected to take initiative in the enhancement, development, documentation, and communication of identified variances and assessment of strategic opportunities. Manage comprehensive analysis of data and information for various UPMC Health Plan products and programs. To successfully perform the role, the Health Economics Analyst must be highly professional and understand the causes of financial & clinical trends and anomalies. The Health Economics Analyst must use their knowledge and understanding of financial, clinical and other information generated by numerous sources to identify opportunities to improve clinical and financial performance. Furthermore, the position requires the ability to articulate these opportunities to internal and external audiences, implement the solutions, and track and monitor progress. These functions must be done while also weighing the practical considerations and potential barriers that need to be overcome in order to successfully implement new programs and processes.

Requirements

Bachelor's degree in business, mathematics, statistics, health care management, decision sciences, or a similar, quantitative field.
Minimum of two-to-four years of work experience in a quantitative job function.
Prior experience with financial and/or clinical modeling or data analysis is highly desirable.
Prior experience applying analysis methods in the health insurance industries strengthens the application, as does general knowledge of business and economic principles.
The successful HEA, Intermediate can 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, beyond the novice level, the application of problem solving skills in the creation and interpretation of quantitative analyses.
Interpret and communicate to management and colleagues, verbally and through written reports, the results of complex, quantitative analysis.
The successful HEA, Intermediate will have experience using SQL, SAS, or R to conduct analysis.
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 minimal supervision.
The HEA, Intermediate will 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.

Nice To Haves

Master's degree preferred.
five years are preferred.
Prior medical cost initiative experience highly preferred.

Responsibilities

The quantitative analyst will also become increasingly familiar 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.
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.
Independently prioritize and manage 2-to-4 advanced quantitative and/or statistical analytics projects simultaneously, while receiving regular supervision.
Routinely analyze financial and clinical results, including output from predictive models.
Develop knowledge and expert understanding of all products and benefit designs of UPMC Health Plan insurance offerings, across all lines of business, to facilitate analysis.
The HEA, Intermediate will consistently demonstrate a strong customer orientation, producing analyses on-time and communicating results effectively.
Routinely apply advanced data extraction and manipulation skills, complex analysis methods, statistical analysis, and data visualization tools to daily work.
Independently, or in teams, produce a combination of quantitative financial analysis and clinical utilization analysis to produce new insights into drivers of Health Plan performance.
Demonstrate attention to detail and initiative in discovering errors in data or analyses, or determining the need for additional, follow-up analysis arising from the original assignment.