Decision Scientist - Marketing & Ads Strategic Analytics

Best Buy•Richfield, MN

6d•Hybrid

About The Position

The Marketing & Ads Strategic Analytics team delivers advanced analytics, measurement, and decision support for Best Buy’s Marketing and Retail Media Network organizations. This role focuses on audience management, CRM analytics, and broader customer ‑ behavior insights that shape key marketing and RMN strategies. As a Decision Scientist , you will lead sophisticated analyses, build analytical frameworks, and deliver high ‑ impact insights that influence decision ‑ making across the organization. You’ll partner closely with CRM, RMN, Data Science, and other cross ‑ functional teams to deepen customer understanding and improve marketing effectiveness. This role is hybrid, which means you will work some days at our corporate office in Richfield, Minnesota, and some days virtually from home or another non-Best Buy location. The specific work arrangements vary by role and team. The recruiter or hiring manager will provide more details during the hiring process.

Requirements

3 or more years applying analytical and statistical techniques to business questions
1 or more years leveraging advanced data and visualization tools (e.g., SQL, Python/R, Tableau/Power BI/Looker)
1 or more years of experience conducting statistical significance testing
Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Engineering, Data Science, Marketing, Business)

Nice To Haves

1 or more years in Marketing, Advertising, CRM, or audience analytics
Demonstrated success influencing cross ‑ functional partners and shaping business decisions
Strong communication skills, with the ability to simplify complex analyses into impactful recommendations
Advanced relationship ‑ building and stakeholder ‑ management capabilities
Proficiency in SQL for data extraction and manipulation
Strong project management and prioritization skills
Experience presenting insights to senior leaders
Master’s degree in a quantitative or analytical field

Responsibilities

Problem Framing & Analytical Strategy Collaborate across CRM, Retail Media, Data Operations and Advanced Machine Learning teams to clarify business questions, form hypotheses, and turn ambiguous problems into structured analytical approaches and frameworks. Scope, manage, and deliver complex analytics projects while identifying new opportunities to enhance audience strategy, customer engagement, and marketing performance.
Advanced Analytics & Data Science Execution Conduct robust quantitative analyses (descriptive analytics, hypothesis testing, causal inference) and maintain well ‑ documented analytical code in SQL, Python, and R to extract, transform, and analyze data across multiple sources. Evaluate and optimize audience and communication strategies by identifying performance drivers, improvement opportunities, and ensuring accurate, consistent management of the audience catalog aligned to business goals.
Insight Delivery & Influence Translate complex analytical findings into actionable recommendations and compelling narratives through dashboards, reports, and executive ‑ level presentations tailored to both technical and non ‑ technical audiences.