Key skills
PythonSQLRA/B Testing
About this role
Role Overview
- Analyze large-scale healthcare datasets (medical & pharmacy claims, EHR, labs, SDOH)
- Design and execute real-world evidence (RWE) studies
- Apply statistical and quasi-experimental methods to evaluate intervention impact
- Develop predictive and analytical models to support population health strategies
- Analyze patient journeys, care patterns, and provider networks
- Identify healthcare disparities and access barriers
- Translate analyses into actionable insights for stakeholders
Requirements
- At least 2 years of experience working with healthcare datasets such as medical & pharmacy claims, EHR, labs, or SDOH.
- 3+ years of hands-on experience applying statistics including hypothesis testing, regression modeling, and causal analysis.
- Strong experience applying cohort analysis and quasi-experimental methods to evaluate intervention impact.
- Strong proficiency in SQL for large-scale data analysis and Python or R for statistics modeling.
- Ability to translate complex statistical analyses into actionable insights for business stakeholders.
- Strong understanding of metrics, experiment frameworks, and performance measurement.
- At least 3 years of work experience with A/B Testing
- At least 5 years of work experience with SQL
- At least 3 years of work experience with Hypothesis Testing
Tech Stack
- Python
- SQL
Benefits
- For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits