The Healthcare Analytics Strategist plays a key strategic role in driving data-informed decision-making for CareATC and its clients. This position is responsible for leading advanced healthcare analytics initiatives, calculating ROI, and delivering actionable insights that demonstrate the value of employer-based healthcare services. The Healthcare Analytics Strategist works closely with clients, internal stakeholders, and leadership to interpret clinical, medical, and pharmacy data—transforming complex datasets into compelling stories and strategic recommendations.
This is a highly analytical and consultative position that combines deep data exploration with client-facing communication. The ideal candidate thrives in a fast-paced environment, is comfortable presenting insights to executive stakeholders, and is eager to explore advanced methodologies including predictive analytics and machine learning.
Key Responsibilities
- Define and execute ROI methodologies for client programs
- Analyze claims, biometric, and utilization data to quantify cost savings and health improvements
- Create executive summaries and visual presentations to communicate findings to high-profile clients
- Collaborate with client account teams to identify analytic opportunities and support key initiatives
- Use SQL, statistical tools, or data visualization platforms to uncover trends, anomalies, and actionable patterns
- Identify opportunities to apply advanced analytics to solve business problems and drive value
Required Qualifications
- Bachelor’s degree in a related field (e.g., Statistics, Health Informatics, Public Health, Data Science, or Business Analytics)
- 5+ years of experience in data analysis, preferably within a healthcare or health technology setting
- Proficient in SQL and data manipulation across large, complex datasets
- Working knowledge of advanced analytics or statistical methods (e.g., regression, cohort analysis, time-series, or ML fundamentals)
- Excellent verbal and written communication skills, with the ability to simplify complex data into meaningful insights
- Experience presenting to executive audiences and leading client discussions
- Familiarity with healthcare data types such as eligibility, claims, Rx, biometric, or EHR data
- Strong business acumen and problem-solving ability
