Healthcare Outcomes Research Analyst (Business Information Consultant)

Elevance Health•Atlanta, GA

1d•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 role applies statistical and observational research methods—including propensity score matching, difference-in-differences, regression modeling, and risk adjustment—to assess program effectiveness and healthcare outcomes. The analyst works with large and complex healthcare datasets, develops and maintains statistical programs using Python, R, and/or SAS, and performs validation, statistical testing, and sensitivity analyses. The role also creates databases and business performance reports, identifies performance deviations and anomalies, and turns business requirements into decision-support tools. The analyst collaborates with clinical, pharmacy, and business stakeholders and communicates study methods, findings, and recommendations through research summaries, presentations, and reports. Additional advanced analytics work, including predictive modeling, may be supported as business needs evolve. This is a hybrid role requiring associates to work in-office one day per week. Ideal candidates can report to a Pulse Point location in Atlanta, Tampa, Grand Prairie, Indianapolis, or Mason. Other locations may be considered for candidates within commuting distance of an office; candidates outside a reasonable commuting distance will not be considered unless an accommodation is granted as required by law.

Requirements

BS/BA degree in a related field and a minimum of 5 years of experience, or an equivalent combination of education and experience.
Ability to conduct healthcare data analyses and retrospective observational studies using statistical and observational research methodologies.

Nice To Haves

Experience 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 causal inference methodologies such as 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.
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 medical and pharmacy claims data.
Apply statistical methods, including propensity score matching, difference-in-differences, regression analysis, and risk adjustment, to assess program effectiveness, utilization, and outcomes.
Develop study designs, including study populations, comparison groups, baseline and follow-up periods, outcome measures, and statistical approaches.
Extract, integrate, manipulate, and analyze 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 workflows to Python and R.
Conduct data validation, statistical testing, and sensitivity analyses to ensure accurate and reliable findings.
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.
Prepare research summaries, presentations, and reports that communicate methodologies, findings, and recommendations to leadership, clients, and other stakeholders.
Support additional advanced analytics initiatives, including predictive modeling, as business needs evolve.
Create and maintain databases to track business performance.
Analyze data and summarize performance using statistical procedures.
Develop and analyze business performance reports, including reports on claims, provider, and utilization data; note performance deviations and anomalies.
Create and publish periodic reports and necessary ad hoc reports.
Manage business issues and develop diagnostic or tracking data that translates business requirements into usable decision-support tools.