Responsibilities

• Develop and maintain demographic datasets and geospatial tools to support location analysis across Amazon's physical retail concepts.
• Execute site screening analyses and produce comprehensive reports that evaluate market potential, trade area characteristics, and competitive dynamics.
• Apply advanced statistical methods and GIS software to calculate demographic metrics, forecast performance, and assess site viability.
• Create thematic maps and data visualizations that communicate complex spatial patterns and insights to stakeholders.
• Audit data for accuracy and consistency, ensuring high-quality inputs for location decision-making.
• Build and maintain research tracking systems, historical databases, and reporting frameworks for site analysis.
• Partner with Real Estate, Operations, and Finance teams to provide data-driven recommendations on location strategy.
• Conduct market research and competitive analysis to identify expansion opportunities across retail formats.
• Support forecasting activities including site visits, market assessments, and performance modeling.
• Drive process improvements through automation and optimization of analytical workflows using ETL tools.
• Present findings and recommendations to senior leadership, translating technical analysis into actionable business insights.
• Move quickly to deliver timely insights that enable rapid decision-making on time-sensitive real estate opportunities.

Requirements

• Bachelor's degree or above in statistics, business analytics, data analytics, data science, computer science or related field
• Knowledge of at least one data-focused technology tool, such as Python, SQL, Alteryx, Amazon QuickSight, or similar
• Experience analyzing data and creating reports for leadership
• Experience managing multiple projects and priorities across teams in a fast-paced, deadline-driven environment
• 3+ years of professional experience in location analytics, site selection, or geospatial analysis
• Advanced proficiency with GIS software (ArcGIS, QGIS, or similar platforms)
• Experience with data modeling

Preferred

• Knowledge of data analysis languages (e.g., R, Stata, Python, etc.) or other statistical software
• Experience in data science, business analytics, business intelligence, or similar experience in big data environments
• Experience working with, presenting to and influencing senior executives up to VP level
• Experience in retail site selection, real estate analytics, or location planning
• Experience in demographic analysis and market research methodologies

Benefits

• The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.
• comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.