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Global Market Analyst, Store Intelligence

Apple· Corporate Functions
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Cupertino, CA$140.7k - $211.4kFull-timePosted 2mo ago

About the role

The Market Analysis team at Apple Retail Real Estate leads strategic and quantitative intelligence to inform store investments across a 500+ store global fleet. The role focuses on building measurement frameworks, measuring store performance, automating analytics tooling, and partnering with finance, strategy, and operations to drive capital allocation. It emphasizes evolving into an AI-native analytics function with automated pipelines and scalable tooling.

Responsibilities

  • Develop and evolve Apple Retail Real Estate’s store performance measurement framework - contributing to the scoring models, benchmarking logic, and fleet decisioning tools that drive capital allocation
  • Build and maintain core analytical data sources (store-level datasets, structured performance tables) - ensuring integrity, accessibility, and documentation for the broader analyst team
  • Measure the impact of store investments and strategic decisions using synthetic control analysis, pre/post evaluation, and causal inference methods across a global fleet
  • Synthesize financial, operational, market, and strategic data into clear performance narratives for VP-level and cross-functional audiences - in decks, written briefs, and live presentations
  • Build automated and AI-powered analytics tools that replace manual reporting workflows - moving store intelligence from periodic spreadsheets to dynamic, queryable systems
  • Drive adoption of new tooling and methods across the team - shipping solutions that geo analysts use, iterating based on their feedback
  • Partner cross-functionally with Finance, Strategy, and Store Operations to align measurement approaches and ensure performance frameworks reflect business priorities

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
  • 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

Skills

Required:SQLPythonStatistical measurement frameworksData storytelling
Nice to have:Causal inference

Benefits

  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Educational expense reimbursement (tuition)
  • Potential discretionary bonuses or commission
  • Relocation assistance (optional)
Last updated Aug 14, 2026. Interested? Apply on the company site.

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