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Decision Scientist - People Analytics
Recruited by Best Buy 9 months ago
Address Richfield, MN, United States
Decision Science Manager - Workforce Strategy
Company | Best Buy |
Address | Richfield, MN, United States |
Employment type | FULL_TIME |
Salary | |
Category | Human Resources Services |
Expires | 2023-08-14 |
Posted at | 10 months ago |
As a Decision Science Manager on our Workforce Strategy Decision Science team, you’ll manage a portfolio of decision science work that will help us shape our workforce for the future of retail. You’ll leverage data fluency methodologies to create data-backed recommendations and other deliverables. You’ll work closely with senior-level stakeholders in workforce planning and operations, and you may support other departments across the company as business needs change.
- Develop partnerships and work cross-functionally throughout the enterprise
- Seek ways to share outside knowledge and experience with peers, provide insights, and coach new team members
- Support cross-functional efforts to gather and prepare data for reporting, automation, self-service products, value tracking, and hypothesis testing
- Partner closely with Data Science to deliver against high-complexity analytical projects
- Lead deliverable creation, leveraging data fluency methodologies (e.g., effective storytelling) that include data-backed insights/recommendations and supporting materials
- Manage a portfolio of decision science work across multiple senior-level stakeholders, using analysis techniques to complete requests
- Align demand within our prioritization framework by understanding the scope, gathering product and resourcing requirements, and establishing an engagement timeline
- 5 years of experience in a quantitative or business field
- 3 years of experience applying analytical techniques to answer business questions and assess business impact
- 3 years of experience in data visualization and design and communicating technical information
- Experience in retail or another relevant industry that handles large datasets
- Experience with workforce strategy or labor analytics
- Experience with computer programming, SAS, SQL, Python, R, Tableau, and/or Power BI
- Bachelor's degree in a quantitative or business field such as statistics, mathematics, engineering, economics, management, or supply chain
- Proficient with Microsoft PowerPoint and Excel
- Financial savings and retirement resources
- Support for your physical and mental well-being
- Generous employee discount
- Competitive pay
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