Senior Analytics Engineer, Health Operations (MSO)

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. nnImagine 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 worlds best healthcare experiences for Apple employees and their families.

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 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 engineeringdesigning 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 isnt just about answering questions but also shaping the questions worth asking this role was built for 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.

Design develop and maintain clean production-grade data models and transformation pipelines that translate complex health operations and clinical data into reliable scalable analytical 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 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 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 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 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 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 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.

Bachelors Degree in Statistics Biostatistics Business Healthcare Operations Research Computer Science or a related field.n7 years of experience in business insights or strategic analytics with at least 2 years in a lead or senior individual contributor track record of applying quantitative methods statistical modeling and business /financial analysis to evaluate product performance operational workflows and executive ability to design end-to-end measurement frameworks including metric definitions calculation logic and validation methods from zero to one for new ability to influence clinical and operational stakeholders and drive cross-functional alignment without direct ability to translate complex ambiguous business problems into structured analytical frameworks and actionable SQL proficiency and experience with Python or equivalent for data wrangling exploratory data analysis and building automated production-ready analytical track record of building intuitive data visualizations executive dashboards and reports using tools such as Tableau or AWS executive presence and storytelling abilities with demonstrated success translating technical findings into clear narratives for clinical operational and non-technical organized self-directed and proven ability to navigate ambiguity prioritize competing demands and deliver high-impact results under tight 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 with formal performance management and goal-setting frameworks (e.g. OKRs operational scorecards quality benchmarks) and how data infrastructure supports accountability at 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 -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.