Senior Decision Scientist - Marketing & Ads Strategic Analytics

Minneapolis, MN (Hybrid)

$90K/yr – $160K/yrSenior Level5+ years expFull time

Posted 2 months ago

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Job Summary

Drive RMN analytics and media optimization by framing problems, delivering structured analyses, and partnering with Marketing to turn insights into action.

  • Must-have: 5+ years in analytics with SQL and Python/R
  • Standout: Mentoring others and collaborating across teams to operationalize data-driven decisions

Job Description

Responsibilities

  • Lead ambiguous RMN and marketing analytics engagements by proactively framing problems, translating loosely defined business questions into structured analytical strategies, and identifying high‑impact opportunities to improve media performance, customer targeting, and overall RMN growth.
  • Execute advanced statistical, causal, and exploratory analyses using SQL, Python, and R to synthesize customer, media, and performance data, identifying key drivers of RMN growth and opportunities to optimize marketing investment and messaging.
  • Translate complex analytics into executive‑ready, actionable insights and recommendations—confidently influencing Marketing and RMN decisions by serving as a trusted thought partner who helps operationalize data‑driven strategy and execution
  • Collaborate cross‑functionally with Analytics and Data Science partners to align methodologies and insights, mentor analysts to elevate rigor and storytelling, and apply customer and marketing expertise to connect analytics outputs to real‑world RMN and business decisions.

Requirements

  • 5 or more years of experience in analytics, decision science, business, or a related field
  • 5 or more years of experience applying advanced analytical and statistical techniques to complex business problems
  • 2 or more years of supporting Marketing, Advertising, Media, or RMN‑related analytics
  • 5 or more years of experience using SQL and analytical tools (Python/R)
  • Bachelor’s degree in a quantitative or business‑related field (e.g., Statistics, Economics, Engineering, Data Science, Marketing, Business)

Preferred

  • 2 or more years of experience in a corporate retail environment
  • Proven success leading ambiguous, ad hoc analytics that influence strategic decisions
  • Strong executive communication and storytelling skills
  • Demonstrated ability to partner cross‑functionally and influence without authority
  • Experience mentoring or providing analytical guidance to other team members
  • Master’s degree in a quantitative or analytical field

Benefits

  • We’re committed to helping our people thrive at work and at home. We offer generous benefits that address your total well-being and provide support as you need it, especially key moments in your life.
  • Competitive pay
  • Generous employee discount
  • Physical and mental well-being support
Best Buy logo

Best Buy

3.6 Glassdoor

At Best Buy, our purpose is to enrich lives through technology. We do that by leveraging our unique combination of tech expertise and human touch to meet our customers’ everyday needs, whether they come to us online, visit our stores or invite us into their homes. With over 1,000 stores and more than 90,000 employees in the United States and Canada, we solve key human needs in the areas of productivity, security, health, entertainment, connectivity, and more. We’re a community of courageous change-makers, ambitious collaborators, and inspiring friends. Whether it’s working as a Geek Squad Agent, an in-store advisor, or in our corporate office, we offer each other support and prepare for what might come next. We wake up every morning so we can do our part in shaping the future of a changing world. Together, we raise the bar for what’s possible and dream up new solutions to problems we’ve never encountered. We master innovative skills that we didn’t know were within grasp and turn everyday interactions into human connections built to last. If change motivates you, if technology inspires you — we’re here for you. Tomorrow works here™.

Founded in 1966
Richfield, Minnesota, US
73K employees (3,120 in marketing)
60% recommend to a friend
35% CEO approval

Traffic Signals

Monthly Visitors
101.6M
Monthly Google Ads Budget
$4M
Traffic Source Mix
Search
34.7%
Direct
58.3%
Referral
4.1%
Social
1.4%
Paid
1.3%

Headcount Trend

Current headcount: ~72.9K

Marketing Team

Marketing Team Size
2,119 (3% of company)
Median Career Experience
15 years
Median Tenure
7.3 years
Marketing Roles Posted (Last 30 Days)
8

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