Healthcare Outcomes Research Analyst (Business Information Consultant)

Elevance Health•Tampa, FL

2d•Hybrid

About The Position

The Healthcare Outcomes Research Analyst (Business Information Consultant) conducts healthcare data analyses and retrospective observational studies to evaluate clinical and pharmacy programs, healthcare utilization, and total cost of care. The analyst applies statistical and observational research methodologies—including propensity score matching, difference-in-differences, regression modeling, and risk adjustment—to evaluate program effectiveness and healthcare outcomes. The role involves working with large and complex medical claims, pharmacy claims, and member eligibility datasets; developing and maintaining statistical programs using Python, R, and/or SAS, with an emphasis on transitioning workflows to Python and R; and communicating findings and recommendations to internal leadership, external clients, and other stakeholders. The analyst also develops business performance reporting and decision-support tools and may support predictive modeling and other advanced analytics as business needs evolve. This is a hybrid role requiring associates to work in-office at least one day per week. Candidates should be within a reasonable commuting distance of a Pulse Point location in Atlanta, Tampa, Grand Prairie, Indianapolis, or Mason, though alternate locations may be considered for candidates within commuting distance of an office.

Requirements

A BS/BA degree in a related field and a minimum of 5 years of experience, or an equivalent combination of education and experience.

Nice To Haves

Experience working with medical and/or pharmacy claims data, including longitudinal analyses of healthcare utilization and costs.
Experience in health economics and outcomes research (HEOR), real-world evidence (RWE), or healthcare program evaluation.
Experience with additional causal inference methodologies, including inverse probability weighting, interrupted time series, or other quasi-experimental methods.
Experience with predictive modeling or machine learning techniques.
Familiarity with healthcare payer, pharmacy benefit management (PBM), or managed care environments.
A master's degree in Statistics, Biostatistics, Epidemiology, Health Economics, Data Science, Public Health, or a related quantitative discipline.

Responsibilities

Design and conduct retrospective observational studies evaluating the clinical and financial impact of healthcare and pharmacy programs using large-scale medical and pharmacy claims data.
Apply statistical methodologies, including propensity score matching, difference-in-differences, regression analysis, and risk adjustment, to assess program effectiveness, utilization, and outcomes.
Develop analytical study designs, including study populations, comparison groups, baseline and follow-up periods, outcome measures, and statistical approaches.
Extract, integrate, manipulate, and analyze complex medical claims, pharmacy claims, and member eligibility data.
Develop, modify, and maintain statistical programs using Python, R, and/or SAS, with an emphasis on transitioning analytical workflows to Python and R.
Conduct data validation, statistical testing, and sensitivity analyses to ensure accurate and reliable findings and interpretations.
Analyze healthcare utilization, medical and pharmacy costs, and clinical outcomes to evaluate program performance and identify opportunities for improvement.
Collaborate with clinical, pharmacy, and business stakeholders to translate business questions into analytical approaches and actionable insights.
Develop research summaries, presentations, and reports communicating study methodologies, findings, and recommendations to leadership, external clients, and other stakeholders.
Support advanced analytics initiatives, including predictive modeling, as business needs evolve.
Create and maintain databases to track business performance.
Analyze data and summarize performance using summary statistical procedures.
Develop and analyze business performance reports, including reports on claims, provider, and utilization data, and note performance deviations and anomalies.
Create and publish periodic and ad hoc reports.
Manage business issues and develop appropriate diagnostic or tracking data that translates business requirements into usable decision-support tools.