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Senior Analytics Engineer, Health Operations (MSO)

Apple· Software and Services
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Hybrid (Cupertino, CA)$175.5k - $263.8kfull-timePosted 3w ago

About the role

Senior, full-stack Analytics Engineer responsible for designing robust data models, measurement frameworks, and diagnostic analytics to drive health operations for Apple’s AC Wellness MSO. Partners cross-functionally to define success metrics, build scalable analytics solutions, and translate data into actionable insights for clinical and operational leaders.

Responsibilities

  • Design, develop, and maintain clean, production-grade data models and transformation pipelines that translate complex health operations and clinical data into reliable, scalable analytical datasets.
  • Own the design, development, and ongoing governance of analytical frameworks and KPI systems for health operations, defining what the business measures, establishing baseline metrics, and building the measurement infrastructure that makes those data actionable across operational and clinical teams.
  • Conduct deep descriptive, diagnostic, and exploratory analyses on complex healthcare datasets to uncover underlying drivers, surface key operational trends, and translate quantitative findings into strategic, data-driven recommendations.
  • Define, deploy, and evaluate comprehensive measurement plans for new health service and product launches, tracking adoption, operational efficiency, financial performance, and patient experience to guide iterative improvements and executive decision-making.
  • Serve as the primary analytical partner to health operations leadership partnering to define goals, pressure-test assumptions, evaluate business impact, monitor performance against plan, and proactively surface risks and opportunities.
  • Build polished, scalable data visualizations and executive-level reporting products (via Tableau, AWS QuickSight, or equivalent) that distill analytical concepts into clear, compelling, and actionable business narratives.
  • Champion analytics standards and best practices across the team, and research / adopt modern data science methods, tools, and workflows across the team to elevate technical capabilities, consistency, and scale.
  • Partner closely with data engineering teams to design scalable, data models and reliable pipelines, ensuring analytics solutions are structured for self-serve access as an enterprise single source of truth.

Qualifications

  • 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 with at least 2 years in a lead or senior individual contributor capacity.
  • Proven track record of applying quantitative methods, statistical modeling, and business /financial analysis to evaluate product performance, operational workflows, and executive priorities.
  • Proven ability to design end-to-end measurement frameworks, including metric definitions, calculation logic, and validation methods, from zero to one for new initiatives.
  • Demonstrated ability to influence clinical and operational stakeholders and drive cross-functional alignment without direct authority.
  • Proven ability to translate complex, ambiguous business problems into structured analytical frameworks and actionable recommendations.
  • Advanced SQL proficiency and experience with Python or equivalent for data wrangling, exploratory data analysis, and building automated, production-ready analytical workflows.
  • Demonstrated track record of building intuitive data visualizations, executive dashboards, and reports using tools such as Tableau or AWS QuickSight.
  • Exceptional executive presence and storytelling abilities, with demonstrated success translating technical findings into clear narratives for clinical, operational, and non-technical stakeholders.
  • Highly organized, self-directed, and proven ability to navigate ambiguity, prioritize competing demands, and deliver high-impact results under tight timelines.
  • Ability to be onsite; this role is a hybrid, in-person position
  • Deep business acumen with the ability to rapidly understand health operational workflows, clinical program performance, and patient experience drivers and apply that context to build strategically meaningful analyses.
  • Familiarity with formal performance management and goal-setting frameworks (e.g., OKRs, operational scorecards, quality benchmarks) and how data infrastructure supports accountability at scale.
  • Background in health operations, clinical operations, or healthcare delivery analytics with an understanding of how patient experience, clinical quality, care utilization, and operational efficiency metrics work together to shape care outcomes.
  • Hands-on experience with modern data orchestration tools and an active interest in applying machine learning, LLMs, or AI assisted workflows to accelerate clinical and operational analytics.

Skills

Required:SQLPythonData ModelingMeasurement FrameworksData VisualizationStakeholder ManagementExecutive StorytellingHealthcare Analytics

Benefits

  • Comprehensive medical and dental coverage, retirement benefits, and access to discounted products and free services.
  • Educational reimbursement for advancing your career, including tuition.
  • Discretionary bonuses or commission payments and relocation opportunities.
  • Apple shareholder programs through discretionary stock awards and employee stock purchase plan.
Last updated Oct 2, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

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