UPMC · 7 hours ago

Health Economics Analyst, Intermediate- Remote

Pittsburgh, PA

Full-time

Remote

Entry, Mid Level

2+ years exp

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Responsibilities

Develop and analyze early indicators of financial performance.

Assist senior team members in forecasting and interpreting financial results, including variances from budget, to help identify medical cost improvement opportunities and potential risks.

Produce well-documented standard and ad hoc analytical reports and projects.

Present results of analyses and recommendations to technical and non-technical audiences.

Creatively leverage analytical and statistical software tools to summarize large healthcare datasets to glean findings and actionable insights.

Collaborate with team members, including other healthcare analysts or actuaries, to ensure that work product meets the highest standards of quality.

Qualification

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Statistical analysisSQLSASRData visualizationFinancial modelingHealthcare analyticsPredictive modelingExcel advanced featuresC++SPSSSTATAQuantitative analysisBusiness principles

Required

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

Demonstrated expertise in particularly-relevant analytical methods or health care business domain (payer/provider)

Ability to apply analytical and statistical software tools to produce complex, quantitative analyses of the health insurance industry

Demonstrate, beyond the novice level, the application of problem solving skills in the creation and interpretation of quantitative analyses

Ability to interpret and communicate to management and colleagues, verbally and through written reports, the results of complex, quantitative analysis

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++

Ability to extract and manipulate data from large, complex data sets with minimal supervision

Routine use of the most advanced quantitative features of Excel as a lower-level tool to supplement the use of advanced analysis tools

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