Global Market Analyst, Store Intelligence
Core
Define store and location performance metrics, build scoring models and benchmarking systems, and develop automated AI-powered analytics tools to inform capital allocation for Apple's global retail fleet.
Role type
Senior quantitative analyst (retail real estate & performance measurement)
Builds
Automated analytics pipelines, scoring models, benchmarking systems, and dynamic queryable data tools
Domain
Retail real estate, commercial analytics, and quantitative strategy
Required skills
SQL, Python, statistical analysis, causal inference, data modeling, automated workflow design, executive storytelling
Preferred skills
Causal inference methods (synthetic control, difference-in-differences), GIS/spatial analysis, end-to-end pipeline architecture, retail real estate domain expertise
Technologies
SQL, Python, AI/ML tooling, APIs
Responsibilities
Develop and evolve store performance measurement frameworks and scoring models; Build and maintain core analytical data sources and structured datasets; Measure investment impact using causal inference and synthetic control methods; Synthesize multi-dimensional data into executive narratives; Build automated and AI-powered analytics tools to replace manual reporting; Drive adoption of new tooling across the team; Partner cross-functionally with Finance, Strategy, and Store Operations
Seniority
Senior, hands-on IC
