Best Buy is looking to solve complex problems in pricing and category analytics to drive smarter pricing and better customer experiences
Requirements
- Bachelor’s degree in a quantitative field (e.g., statistics, economics, computer science) or equivalent experience
- 2 years of experience in SQL or tools like Python, R, or Alteryx
- 3 years of experience with SQL, Python, or R
- Experience in pricing optimization, forecasting, or inventory management
- Familiarity with Google Cloud Platform (GCP) and BigQuery
- Exposure to agile or sprint-based work environments
Responsibilities
- Analyze large datasets to find pricing and category optimization opportunities
- Build predictive models to support pricing strategies like promotions and membership offers
- Apply statistical and machine learning techniques to forecast trends
- Translate data insights into clear, strategic recommendations
- Collaborate with cross-functional teams to drive business impact
- Stay current with emerging analytics tools and methods
Other
- Bachelor’s degree in a quantitative field (e.g., statistics, economics, computer science) or equivalent experience
- 3 years of applied professional experience in pricing, category and retail strategy
- 2 years of professional experience of applying analytical techniques to solve business problems
- Strong communication skills to present complex ideas clearly
- Master’s degree in a related field
