The Real Estate Strategy Analyst will leverage an expansive set of analytic techniques and methodologies to create a holistic recommendation to executives of when and where dollars should be invested, especially behind new store locations, supply chain nodes along with justifications of why. This position requires deep knowledge of disparate data sources, relevant external data and strong domain expertise, especially within the realm of geospatial planning, analytics and forecasting. In addition, the Real Estate Strategy Analyst will work closely with peers across the Real Estate team to create new, innovative measurement solutions, holistic insights and recommendations that drive business performance.
What You Will Do
- Determine best facility locations for future investment:
- This effort will enable senior leadership to understand where to allocate future investments for Lowe’s growth and competitiveness in market. This includes but is not limited to retail and non-retail locations.
- The key responsibilities to deliver this effort include: Working to ensure the appropriate data reliability and structure for analysis and with supplier-partners to ensure accurate, robust and actionable market prioritization models; Deploying results from the real estate models with a simple yet compelling message and recommendation that drives action on the part of the business leaders.
- Spatial model development
- Geodatabase Management
Minimum Qualifications
- Bachelor’s degree Geography, Statistics, Econometrics, Information Sciences or related field or equivalent years of experience in lieu of education requirement,
- If applicable other or equivalent years of experience in lieu of education requirement, if applicable
Preferred Skills:
- 1 year Working knowledge of Esri products to include ArcGIS Desktop, ArcGIS Enterprise (Portal/Server), ArcGIS Online, Web App Builder, Esri Story Maps
- 2 years Experience using a querying language (e.g., SQL)
- Expertise in Windows system architecture
- 1+ years (e.g., Alteryx, ArcGIS, Tableau, SAS, SPSS, SQL, customer segmentation schemes such as Mosaic, Personicx, etc)
- Sales forecasting experience
- 1+ years of experience working with analytic software (e.g., Alteryx, Tableau, SAS, SPSS, R, Python)
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