Senior Analytics Engineer, Health Operations (MSO)

Apple Inc.; Santa Clara (CA); Hybrid; USD 175,000 - 264,000; Full time

Benefits offered by this job

Stock programs

Education reimbursement

Job summary

Apple Inc. in Cupertino seeks a Senior Analytics Engineer for Health Operations (MSO) to design end-to-end measurement plans, build scalable data models, and deliver executive-ready insights guiding health services and product launches.

You will partner with clinical, operational, product, and engineering teams to define KPIs, ensure data quality, and deliver polished visualizations that drive strategic decisions.

Qualifications

• 7+ years in business insights, or strategic analytics with lead/senior IC role.

Responsibilities

• Design, develop, and maintain production-grade data models and transformation pipelines for health operations data.
• Own design, development, and governance of analytical frameworks and KPI systems.
• Conduct descriptive, diagnostic, and exploratory analyses on healthcare datasets to uncover trends.
• Define and evaluate measurement plans for new health service launches and product features.
• Partner with health operations leadership to define goals and surface risks and opportunities.
• Build polished data visualizations and executive dashboards (Tableau, AWS QuickSight).
• Champion analytics best practices and adopt modern data science methods.
• Collaborate with data engineering to ensure self-serve analytics as a single source of truth.

Skills

SQL

Python

Data visualization

Executive storytelling

Stakeholder influence

Cross-functional collaboration

Education

Bachelor's degree in Statistics / Biostatistics / CS / Healthcare / Ops Research

Tools

Tableau

AWS QuickSight

Job description

Senior Analytics Engineer, Health Operations (MSO)

Cupertino, California, United States Software and Services

Our ever-evolving suite of Heath and Wellness products for iPhone and Watch are helping our users live more active, healthier lives. Be ready to make something great when you come here. Dynamic, inspiring people and innovative, industry-defining technologies are the norm at Apple. The people who work here have reinvented and defined entire industries with our products and services. The same dedication to innovation also applies to our business practices - strengthening our commitment to leave the world better than we found it.Imagine what you can do here. AC Wellness Network LLC is a subsidiary of Apple Inc. and is an exclusive management services organization (MSO) for AC Wellness, a dedicated independent medical group that serves Apple Wellness Centers in Santa Clara Valley and digitally, across the US. Our mission is to deliver the world’s best healthcare experiences for Apple employees and their families.

Description

We are seeking a senior, full-stack Analytics Engineer who is passionate about crafting quantitative models and data solutions that have a direct, measurable impact on the health and wellness experience of Apple customers. In this role, you will own the analytical frameworks, measurement architecture, and diagnostic models that tell the story of how our health operations are performing and where it is headed. A core responsibility of this role is data analytics engineering—designing robust data models, transforming complex health operations datasets, and establishing scalable data structures that power reliable reporting and advanced analytics. You bring the rare ability to build rigorous, scalable data solutions and translate what they reveal into forward-looking insights that influence how clinical and operational leaders plan, invest, and act. If you believe that the most powerful data science isn't just about answering questions, but also shaping the questions worth asking, this role was built for you.You will own the design, deployment, and evaluation of end-to-end measurement plans from the ground up for the launch of new health services and features. You will partner closely with cross-functional partners across clinical, operational, product, legal, and engineering teams to define how the service measures success, tracking adoption, operational efficiency, and customer experience to translate complex data into insights that drive real decisions. Beyond the immediate launch scope, you will serve as a technical and strategic leader within the team, driving analytics engineering best practices, and helping shape what a world-class healthcare analytics function looks like at scale. Operating with high autonomy, this is a high-impact role for someone who pairs technical rigor and data visualization, with exceptional executive presence and a passion for mission-driven impact.

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.

Minimum 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

Preferred Qualifications

• 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.

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,500 and $263,800, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
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Apple accepts applications to this posting on an ongoing basis.