Global Market Analyst, Store Intelligence

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. We’re a diverse collective of thinkers and doers, continuously reimagining our products and practices to help people do what they love in new ways. That innovation is inspired by a shared commitment to great work and to each other. Learning from our people here means we're learning from the best! The Market Analysis team is Apple Retail Real Estate’s strategic and quantitative intelligence function — we build the frameworks, tools, and analyses that inform where Apple invests in its 500 store fleet globally. We combine rigorous measurement with strategic insight to shape how leadership thinks about market opportunity, fleet composition, and capital allocation. We’re actively transforming into an AI-native analytics team — replacing static, report-driven workflows with automated pipelines, AI-assisted analysis, and scalable tooling. This role will be a key part of that shift: building and adopting new tools to modernize ways of working. Minimum Qualifications: 8 years in performance measurement, commercial analytics, or quantitative strategy at a major retailer, top-tier consulting firm, or technology company Strong statistical and analytical fundamentals - track record of designing measurement frameworks that hold up under leadership scrutiny and evolve with the business Fluency in SQL for data access, manipulation, and validation across large, multi-source datasets Proficiency in Python for data analysis, automation, and tool-building Experience building and maintaining structured analytical datasets or data models for team consumption Demonstrated ability to distill complex, multi-dimensional performance data into clear narratives for executive audiences — written, oral, and presentation formats Experience building automated analytics workflows or tools that use AI, APIs, or programmatic pipelines to replace manual reporting processes Bachelor’s degree Preferred Qualifications: 10 years with increasing scope in performance analytics or commercial measurement Proficiency in causal inference methods (synthetic control, difference-in-differences) applied to business performance Experience building end-to-end automated analytics pipelines — from data ingestion through insight delivery — using AI tooling Background in retail real estate, store operations, or fleet performance management Familiarity with GIS, spatial analysis, or large-scale retail data infrastructure Cross-functional experience partnering with Finance, Real Estate, or Strategy teams MBA or equivalent advanced degree