Global Market Analyst, Store Intelligence

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. 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 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