Decision Scientist - Customer Strategic Analytics
About The Position
As a Decision Scientist, Customer Strategic Analytics, you’ll turn customer data into insights that help shape better experiences across Best Buy. You’ll work with large datasets, analytics tools, and AI-powered solutions to uncover trends, answer key business questions, and influence important decisions. If you enjoy solving problems, telling stories with data, and helping teams understand customer behavior, this is a great opportunity to make a visible impact. This role is hybrid, which means you will be required to work on site Monday through Thursday at the Best Buy corporate office in Richfield, Minnesota. You can work virtually from home or another non‑Best Buy location on Friday. The recruiter or hiring manager will provide more details during the hiring process. This position is not eligible for immigration sponsorship.
Requirements
- Bachelor's degree in Statistics, Mathematics, Economics, Engineering, Computer Science, Marketing, Business, or equivalent experience
- 3 years of experience in analytics, data science, business intelligence, or a related field
- 2 years of experience translating complex data into business insights
- 3 years of experience using analytical and statistical methods
- 3 years of strong SQL experience
- 2 years of experience with Python or R
- 2 years of experience automating analytics workflows to create dynamic, repeatable, and scalable processes that improve workflow efficiency and generate actionable data insights
Nice To Haves
- 2 years of experience with dashboarding (e.g., Tableau, Power BI, and/or Looker Studio)
- Strong communication and storytelling skills
- Experience presenting insights to leaders and stakeholders
- 2 years of experience with customer analytics
- Master’s degree in Business Analytics or a quantitative field
Responsibilities
- Analyze complex data around customer behavior, trends, and opportunities
- Deliver strategic insights that help business partners make informed decisions
- Partner with teams across the business to answer critical customer questions
- Present recommendations to both technical and non-technical audiences
- Develop automated analytics workflows that accelerate scalability and time to insight
- Build dashboards and presentations that make complex findings easy to understand
Benefits
- Competitive pay
- Great employee discount
- Financial savings and retirement resources
- Support for your physical and mental well-being
- Different types of leaves of absence (LOA) and potential pay sources
- Intermittent or reduced-schedule leave
- Paid time off (vacation or PTO)
- Various forms of incentive pay
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
