• Provide hands-on GIS support to field crews and office staff • Help troubleshoot ArcGIS-related issues • Use mapping and mobile data collection tools effectively • Work with ArcGIS Online/Portal, ArcGIS Pro, Survey123/XLSForm, Field Maps, and Quick Capture • Support field operations, data collection workflows, maps, dashboards, layers, feature services, and reporting needs • Maintain organized and reliable GIS data

• Analyze store-level, market-level, and geospatial datasets to support localized assortment and store clustering strategies • Use Placer.ai and other integrated data sources to evaluate store shopping dynamics • Support creation and refinement of store clusters based on shopper behavior • Identify localized opportunities tied to seasonality, weather, multicultural events • Conduct incursion analysis for new store openings and risks • Analyze shopper behavior and support localized category recommendations • Synthesize data from various intelligence platforms and build reports, dashboards, presentations • Translate analytical findings into practical business implications • Partner with cross-functional teams using geospatial insights

• Develop and maintain store-level clustering strategies based on shopper behavior, trade area composition, demographic shifts, and emerging market trends. • Leverage Placer.ai and other data sources to create micro-assortment recommendations. • Analyze store-level and market-level data to identify current and future localized opportunities that influence category strategy and assortment decisions. • Build event-, weather-, and season-based playbooks that help customer teams and partners respond to changing local demand patterns. • Identify local and regional seasonal opportunities, including multicultural events, temporary population shifts, and other market-specific drivers of demand. • Conduct incursion analysis to evaluate the impact of new store openings near existing locations and recommend actions to mitigate risk or unlock growth. • Synthesize data from the Category Intelligence Platform into clear business insights and recommendations. • Present actionable, data-driven recommendations that support both strategic planning and local execution.

• Implement strategies that improve release integrity — from automation in CI/CD pipelines to validation processes that increase confidence in deployments. • Validate spatial algorithms, data accuracy, and system performance within our mapping platform. • Instrumenting quality health metrics and dashboards that give teams clear visibility into product stability, release readiness, and test effectiveness. • Driving internal tooling initiatives that improve the developer experience and enable teams to test, measure, and ship with higher confidence. • Partnering across engineering, infrastructure, and product to identify opportunities for system-level quality improvements and advocate for automation-first approaches. • Using data and experimentation to continuously refine our approach to quality and ensure we’re focusing on the most impactful areas. • Working with your fellow engineers to develop first class quality measures that align with overall quality strategy, with a focus on monitoring and observability