Global Market Analyst, Store Intelligence

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The Market Analysis team is Apple Retail Real Estates 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. Were 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.

This person will define how store and location performance is measured and compared across Apples global retail fleet. Youll develop and maintain the scoring models benchmarking systems and measurement frameworks that tell leadership how stores stack up where investment is working and where it bring deep measurement craft statistical rigour multi-source data fluency and the ability to distill complex performance data into narratives that land with senior executives. You also bring a builders instinct: youd rather automate a recurring analysis than run it manually and youre comfortable shipping tools your teammates use every serve as a primary performance intelligence resource for regional geo analysts who anchor their market strategies in store-level benchmarks working embedded with them maintaining shared tooling and ensuring the data foundations they rely on are Youll DonDevelop and evolve Apple Retail Real Estates store performance measurement framework - contributing to the scoring models benchmarking logic and fleet decisioning tools that drive capital allocationnBuild and maintain core analytical data sources (store-level datasets structured performance tables) - ensuring integrity accessibility and documentation for the broader analyst teamnMeasure the impact of store investments and strategic decisions using synthetic control analysis pre/post evaluation and causal inference methods across a global fleetnSynthesize financial operational market and strategic data into clear performance narratives for VP-level and cross-functional audiences - in decks written briefs and live presentationsnBuild automated and AI-powered analytics tools that replace manual reporting workflows - moving store intelligence from periodic spreadsheets to dynamic queryable systemsnDrive adoption of new tooling and methods across the team - shipping solutions that geo analysts use iterating based on their feedbacknPartner cross-functionally with Finance Strategy and Store Operations to align measurement approaches and ensure performance frameworks reflect business prioritiesn

8 years in performance measurement commercial analytics or quantitative strategy at a major retailer top-tier consulting firm or technology companynStrong statistical and analytical fundamentals - track record of designing measurement frameworks that hold up under leadership scrutiny and evolve with the businessnFluency in SQL for data access manipulation and validation across large multi-source datasetsnProficiency in Python for data analysis automation and tool-buildingnExperience building and maintaining structured analytical datasets or data models for team consumptionnDemonstrated ability to distill complex multi-dimensional performance data into clear narratives for executive audiences written oral and presentation formatsnExperience building automated analytics workflows or tools that use AI APIs or programmatic pipelines to replace manual reporting processesnBachelors degree

10 years with increasing scope in performance analytics or commercial measurementnProficiency in causal inference methods (synthetic control difference-in-differences) applied to business performancenExperience building end-to-end automated analytics pipelines from data ingestion through insight delivery using AI toolingnBackground in retail real estate store operations or fleet performance managementnFamiliarity with GIS spatial analysis or large-scale retail data infrastructurenCross-functional experience partnering with Finance Real Estate or Strategy teamsnMBA or equivalent advanced degree