Apple
Senior Analytics Engineer, Health Operations (MSO)
$176K–$264K
Cupertino, California · Senior · Full-time · Posted Sep 29, 2026
- Experience
- 7+ years in business insights or strategic analytics, with at least 2 years in a lead or senior individual contributor capacity.
- Education
- Bachelor's Degree in Statistics, Biostatistics, Business, Healthcare, Operations Research, Computer Science, or a related field.
About the job
Build and lead analytics engineering and measurement systems for health operations, turning healthcare data into insights that guide service launches and operational decisions.
What you'll do
- Create and maintain production data models, transformation pipelines, KPI frameworks, and measurement plans for health operations and new services.
- Analyze healthcare datasets and partner with clinical, operational, product, legal, and engineering teams to develop recommendations and assess performance.
- Produce executive dashboards and visualizations, and advance analytics practices and scalable data access.
What they ask for
- Bachelor's Degree in Statistics, Biostatistics, Business, Healthcare, Operations Research, Computer Science, or a related field.
- 7+ years of experience in business insights or strategic analytics, including at least 2 years in a lead or senior individual contributor capacity.
- Advanced SQL proficiency and experience with Python or equivalent for data wrangling, analysis, and production-ready workflows.
- Ability to be onsite; this role is a hybrid, in-person position.
Nice to have
- Background in health operations, clinical operations, or healthcare delivery analytics.
- Hands-on experience with modern data orchestration tools and interest in machine learning, LLMs, or AI assisted workflows.
Pay
$175,500 and $263,800 (base salary)
Tools
SQL, Python, Tableau, AWS QuickSight
AI focus
Preferred: apply machine learning, LLMs, or AI assisted workflows to accelerate clinical and operational analytics.
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