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.
Minimum Qualifications
8+ years in market analysis, macroeconomic research, or strategy at a major retailer, top-tier consulting firm, investment bank, or technology company Strong quantitative foundation — proficiency in economic and market modelling, statistical analysis, and working with large, complex datasets from multiple sources Structured, hypothesis-driven approach to analysis — able to build grounded narratives from incomplete or disparate data Demonstrated ability to simplify complex issues and deliver content clearly in written, oral, and formal presentation formats for senior and executive audiences Experience building or actively using AI tools to automate analytical workflows Proficiency in SQL for data access, manipulation, and validation Bachelor’s degree
Preferred Qualifications
10+ years in market analysis, economic research, or strategy with increasing seniority and scope Proficiency in Python for data analysis and automation MBA or equivalent advanced degree Experience in retail real estate, site selection, or market entry strategy Familiarity with GIS and spatial analysis tools Track record of influencing senior investment or expansion decisions through market intelligence Experience building automated analytics pipelines or AI-powered tools for business intelligence Cross-functional experience partnering with Finance, Strategy, or Real Estate teams
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