Analytics & Business Planning Lead, ASO Operations

Imagine what you could do here! The people here at Apple don't just create products - they build the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work.

Here on the Apple Store Online team, we are responsible for Apple's largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things.

The Apple Store Online Operations team is seeking an Analytics & Business Planning Lead to join our Workforce Strategy & Analytics (WSA) group - a senior individual contributor role at the intersection of deep analytical work and strategic business planning. In this role, you will own the analytical frameworks, financial models, and planning processes that tell the story of how Apples largest store is performing - and where it is headed. You bring the rare ability to build rigorous, scalable data solutions and translate what they reveal into forward-looking business strategies that influence how operational leaders plan, invest, and act. If you believe that the most powerful analytics isnt just about answering questions - its about shaping the questions worth asking - this role was built for you. In this role, you will serve as both the analytical engine and strategic planning partner for ASO Operations - owning the models, metrics, and planning cycles that connect day-to-day operational performance to long-range business strategy. You will conduct deep quantitative analysis to uncover the trends, risks, and opportunities that matter most to the business, and you will translate those findings into the financial models, capacity plans, and executive narratives that drive alignment and action across the organization. Your work sits at the highest-value intersection of analytics and planning, where the quality of your analysis directly shapes the quality of every business decision made downstream.Own the design, development, and ongoing governance of analytical frameworks and KPI systems for ASO Operations - defining what the business measures, how it measures it, and building the data infrastructure that makes those metrics reliable, real-time, and actionable across global teams. Drive analytical program delivery across WSA - translating business needs into technical requirements, aligning engineering partners to milestones that matter, and ensuring every data initiative ships with the rigor, reliability, and business context required to drive adoption and lasting impact. Lead deep-dive quantitative analyses that surface the trends, anomalies, root causes, and forecasting signals that drive operational performance - translating complex findings into clear, executive-ready narratives and data-driven recommendations that directly influence business strategy and planning decisions. Own the annual and quarterly business planning cycle for ASO Operations - including headcount planning, capacity modeling, and operational forecasting - building and maintaining the financial models that enable leaders to scenario-plan with confidence and make resource decisions grounded in rigorous analytical thinking. Serve as the primary analytical partner to operations leadership - partnering to define goals, pressure-test assumptions, monitor performance against plan, and proactively surface risks and opportunities before they become issues, with data-backed context and clear recommendations in every interaction. Define data and analytical requirements and partner with Data Engineering to develop and maintain the models, pipelines, and reporting infrastructure that underpin the teams analytical capabilities - ensuring solutions are built to scale, structured for self-serve access, and trusted across the organization as a single source of truth.Bachelors degree in Analytics, Statistics, Mathematics, Computer Science, Business, or a related field - or 6+ years of equivalent professional experience in an analytics, business intelligence, or strategy & analytics role with demonstrated impact at scale. Advanced SQL proficiency and strong Python skills - with a track record of using both independently to build production-grade analytical solutions, automate workflows, and deliver insights that drive measurable business decisions. Proven experience owning the end-to-end design and implementation of KPI frameworks and operational metrics - including stakeholder alignment on definitions, documentation of methodology, and building the data infrastructure required to track and report at scale. Demonstrated experience managing the delivery of data and analytics programs end-to-end - including translating business requirements into technical specifications, partnering with engineering teams to drive execution, and ensuring analytical solutions are adopted and trusted by the business. Demonstrated experience building and owning financial models and business planning processes - including capacity modeling, headcount forecasting, or operational planning - with the analytical rigor to support executive-level decision-making. Proven ability to translate complex, ambiguous business problems into structured analytical frameworks and forward-looking recommendations - operating with a high degree of autonomy and delivering with clarity and precision under pressure. Demonstrated ability to influence senior stakeholders and drive cross-functional alignment without direct authority - with a track record of building trust through the consistent quality, accuracy, and business relevance of analytical work.Deep business acumen with the ability to rapidly understand operational workflows, workforce economics, and performance drivers - and apply that context to build analyses and planning models that are not just technically correct, but strategically meaningful to the business. Experience with cloud-based data warehousing platforms such as Snowflake, and hands-on experience incorporating AI and machine learning techniques into analytics workflows - including forecasting, anomaly detection, or natural language querying - with a clear understanding of how to validate and operationalize those techniques responsibly. Proficiency with data visualization and BI tools such as Tableau or Looker - with a track record of designing self-serve reporting solutions that reduce analytical dependency, increase data literacy, and give operational teams direct access to the insights they need. Background in workforce analytics, digital operations, or e-commerce operations - with a strong understanding of how staffing, volume, service levels, and customer experience metrics interconnect and how that relationship can be modeled and planned against. Experience managing the delivery of data and analytics programs - including translating business requirements into technical specifications, partnering with engineering teams to drive execution, and ensuring analytical solutions are adopted and trusted by the business. Extraordinary organizational skills and the ability to manage multiple complex, high-priority workstreams simultaneously - maintaining analytical rigor, stakeholder communication, and delivery quality even as priorities shift in a fast-moving, high-stakes environment.