Global Market Analyst, Store Intelligence

Apple•Cupertino, CA

10h

About The Position

The Market Analysis team is Apple Retail Real Estate’s strategic and quantitative intelligence function. They build the frameworks, tools, and analyses that inform where Apple invests in its 500+ store fleet globally. This role will be a key part of the team's shift towards becoming an AI-native analytics team, replacing static, report-driven workflows with automated pipelines, AI-assisted analysis, and scalable tooling. This person will define how store and location performance is measured and compared across Apple’s global retail fleet. They will develop and maintain the scoring models, benchmarking systems, and measurement frameworks that inform leadership about store performance, investment effectiveness, and areas needing attention. The role requires deep measurement craft, including statistical rigor, multi-source data fluency, and the ability to distill complex performance data into narratives for senior executives. A builder’s instinct is also crucial, with a preference for automating recurring analyses and comfort in shipping tools for team use. The analyst will serve as a primary performance intelligence resource for regional geo analysts, working embedded with them, maintaining shared tooling, and ensuring data integrity.

Requirements

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.

Nice To Haves

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.

Responsibilities

Develop and evolve Apple Retail Real Estate’s store performance measurement framework, contributing to 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 through 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 by shipping solutions that geo analysts use and 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.