Analyst, WWGS & Development

Overview

At Amazon we are passionate about creating a shopping experience that customers will love. If you’re interested in a fast-paced, ambiguous, and highly-collaborative environment that’s more start-up than big company, we want to talk to you.

Worldwide Grocery Stores (WWGS), Growth & Development team is seeking a Location Analyst to support strategic site selection and location planning across all Amazon physical retail concepts. This role sits at the intersection of advanced analytics, real estate strategy, and customer experience, leveraging geospatial intelligence and demographic modeling to identify optimal locations that drive growth and deliver exceptional value to customers.

• 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.

Your morning starts analyzing demographic data for urgent site assessments, running GIS models to evaluate trade areas across Amazon's retail concepts. You collaborate with Real Estate and Operations teams, presenting location recommendations backed by statistical forecasts. Afternoons involve automating analytical workflows, auditing data quality, and preparing executive presentations. You respond rapidly to competitive opportunities, delivering actionable insights that inform multi-million dollar real estate decisions.

Every analysis connects back to one goal: identifying optimal locations that best serve customers across Amazon's physical retail portfolio.

Our mission is to leverage new technology, comprehensive data analysis, and deep market insights to help WWGS identify and secure optimal locations for the Amazon omnichannel offer. We provide actionable insights through site forecasting, competitive intelligence, and mapping and data visualization for store and geo strategy.

We value independent thinking with a focus on providing our customers high quality products informed by extensive research and experience.

• 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 Quick Sight, 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

• 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…