Associate Decision Scientist - Retail Insights

Best Buy • Richfield, MN

1d • $69,150 - $122,900 • Hybrid

About The Position

The Retail Strategic Analytics team delivers advanced analytics, measurement, and decision support for Best Buy’s Customer, Channel, and Services organization. The Retail Insights Associate Decision Scientist supports the Sales Enablement team, which drives selling models, sales strategies, and vendor partnerships across the enterprise. The role provides responsive, business-facing data support by translating business needs into accurate ad hoc reporting, recurring insights, and reusable tools.

The position primarily focuses on requirements gathering, data validation, ongoing maintenance, and dependable data delivery. The Associate Decision Scientist partners closely with Sales Enablement to create a streamlined intake process and ensure consistent access to trusted, actionable information.

This is a hybrid role requiring work at Best Buy’s headquarters Monday through Thursday and remotely on Fridays. The position is not eligible for immigration sponsorship, and relocation assistance is unavailable.

Requirements

• At least 1 year of experience in retail, data, business, operations, or a related area.
• At least 1 year of experience querying structured data using SQL or a similar language.
• At least 1 year of experience building or maintaining Excel-based data products, recurring business outputs, or data visualization solutions.
• Experience gathering requirements, validating data, and communicating results to business stakeholders.
• Bachelor’s degree in Business, Marketing, Economics, Statistics, Mathematics, Computer Science, Information Systems, or a similar field with quantitative rigor.

Nice To Haves

• Experience supporting retail sales, sales operations, Sales Enablement, or vendor-funded programs.
• Experience working with large retail datasets and translating business definitions into repeatable queries and outputs.
• Experience with data visualization or business intelligence tools such as Power BI.
• Strong attention to detail and demonstrated ability to validate results and reconcile differences across data sources.
• Clear written and verbal communication skills, including the ability to document requirements and explain data to non-technical partners.
• Strong organization and prioritization skills, with the ability to manage recurring work and time-sensitive requests.

Responsibilities

• Partner with Sales Enablement stakeholders to understand requests, document requirements, confirm definitions, and establish clear delivery expectations.
• Query structured data using SQL to fulfill ad hoc data requests and support recurring business processes.
• Build, enhance, and maintain Excel-based data products and other repeatable outputs that provide consistent access to trusted information.
• Validate data for accuracy and consistency, research variances, and resolve issues with business, Finance, DDO, DAT, and other analytics teams.
• Manage assigned requests through a shared intake process, balancing recurring deliverables, time-sensitive needs, and planned enhancements.
• Document data sources, business rules, calculations, and operating procedures to improve continuity, governance, and ease of support.
• Identify repeatable requests that can be standardized or converted into self-service solutions, and help users understand how to use the resulting tools and outputs.
• Maintain working knowledge of Sales Enablement priorities, selling models, sales strategies, and vendor partnerships to improve the relevance and speed of support.

Benefits

• Competitive pay.
• Generous employee discount.
• Physical and mental well-being support.
• Leaves of absence and potential pay sources based on eligibility.
• Paid time off (vacation or PTO), based on work location, employment status, salary or hourly status, and years of continued or bridged service.
• Certain roles may be eligible for incentive pay, depending on market norms and plan eligibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level