Senior Analyst, Adv. Analytics - Real Estate
Meijer
IT, Data Science
Grand Rapids, MI, USA
Posted on Nov 21, 2024
As a family company, we serve people and communities. When you work at Meijer, you’re provided with career and community opportunities centered around leadership, personal growth and development. Consider joining our family – take care of your career and your community!
Meijer Rewards
Weekly pay
Scheduling flexibility
Paid parental leave
Paid education assistance
Team member discount
Development programs for advancement and career growth
Please review the job profile below and apply today!
This position will require you to be on site in Grand Rapids, MI Monday through Wednesday with the option to work remote on Thursdays and Fridays.We do not sponsor for this role which includes: OPT Student Visa's, H1B or any other type of working visa
This position is a senior level role on the Advanced Analytics team. This role is responsible for developing and applying advanced analytic techniques primarily in support of Meijer’s Real Estate team, with emphasis on GIS/mapping, sales forecasting and market densification, and location strategy.
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What You'll be Doing:
- Responsible for delivering impact to the organization’s performance by:
- providing expert analytical support and thought leadership primarily for the Real Estate team and other relevant teams throughout the business
- executing against analytics-based business opportunities
- developing and applying analytical tools and approaches that improve the efficiency of the organization and inform Meijer’s real estate strategy.
- Contribute subject matter expertise and methodological design for all aspects of Meijer real estate analysis and store location strategy, including: sales forecasting, market densification, competitive/cannibalistic transfer, trade area analysis, void analysis, and other methods.
- Take on leadership approach to the real estate analytics track and champion adoption of geospatial tools and data across Meijer organization.
- Mentor and develop junior real estate analyst(s)
- Leverage web-based and desktop GIS solutions to evaluate new and existing store locations and markets using geodemographics, competitor data, mobile foot traffic, and internal Meijer data.
- Develop reporting infrastructure to prepare, analyze, and disseminate authoritative real estate portfolio data/insights across Meijer organization.
- Effectively communicate business analysis and locational insights to Real Estate customers.
- Keep customer at the center of analytic approach, analysis and solutions and partner with cross functional teams to drive customer centered focus at Meijer.
- Collaborate with other advanced analysts supporting various areas of the business
What You Bring with You (Qualifications):
- Bachelor’s degree in Geography/GIS, Data Analytics, Planning, Economics, or other quantitative field. Master’s degree preferred.
- 5-10 years business experience in analytics (Real Estate analytics preferred) and location research/strategy (big box retail or grocery industry preferred).
- Expert knowledge of the development and logics of spatial models (analog, gravity, spatial econometrics, location-allocation, etc.)
- Expert knowledge of desktop GIS software.
- Expert knowledge of SQL, Python, or other programming language.
- Experience with supervised and unsupervised machine learning algorithms (random forest, gradient boosting, clustering, etc.)
- Experience with mobile insights platform (Placer.ai, Unacast, Azira, etc.) preferred.
- Experience with dashboarding software (Power BI, Tableau, etc.) preferred.
- Experience in an Advanced Analytics environment working with retail data in Databricks (preferably at large retailer).
- Familiarity with cloud platforms (Azure, AWS, GCP) and Databricks (or similar) preferred.
- Strong work ethic.
- Excellent communication skills: listening, verbal and written.
- Experience developing communications and presenting to leadership and business partners
- Strong organizational, planning, and time management skills with ability to prioritize multiple/competing projects and assignments.
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