Analytics & Business Planning Lead, ASO Operations

Imagine what you could do here! The people here at Apple dont just create products they build the kind of wonder thats revolutionized entire industries. Its 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 on the Apple Store Online team we are responsible for Apples 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 Apple Store Online Operations team is seeking an Analytics u0026 Business Planning Lead to join our Workforce Strategy u0026 Analytics (WSA) group a senior individual contributor role at the intersection of deep analytical work and strategic business 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 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 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 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 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 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 u0026 analytics role with demonstrated impact at 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 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 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 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 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 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 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 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 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 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 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.