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Global Market Analyst, Store Intelligence

Yesterday Cupertino, CA

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Description

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.

Responsibilities:

This person will define how store and location performance is measured and compared across Apple's global retail fleet. You'll 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 isn't.

You 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 builder's instinct: you'd rather automate a recurring analysis than run it manually, and you're comfortable shipping tools your teammates use every day.

You'll 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 sound.

What You'll Do

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

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

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

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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

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $140,700 and $211,400, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Client-provided location(s): Cupertino, CA
Job ID: apple-200665947-0836
Employment Type: OTHER
Posted: 2026-08-17T22:09:04

Perks and Benefits

  • Health and Wellness

    • Parental Benefits

      • Work Flexibility

        • Office Life and Perks

          • Vacation and Time Off

            • Financial and Retirement

              • Professional Development

                • Diversity and Inclusion

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