Manager, Yield & Inventory Analytics

Best Buy•Richfield, MN

6d•Hybrid

About The Position

As a Manager, Yield & Inventory Analytics, you’ll turn inventory and pricing data into decisions that drive revenue for our growing Best Buy Ads business. Day to day, you’ll own the analytics that underpin how we price, forecast, and optimize our ad supply — and you’ll go further, delivering strategic analyses that shape product investments, partnership decisions, media planning, and marketing spend across Best Buy Ads. You’ll be a trusted analytical voice in a high-visibility function, partnering with leadership and decision-makers across Ads and Ecomm to keep us ahead of market dynamics. If you thrive at the intersection of programmatic media, strategic thinking, and quantitative problem-solving, this role was built for you. Best Buy Ads is a key part of our company’s business strategy, as we deliver business results by partnering with leading brands to captivate audiences, drive engagement, and provide measurable impact. This role is hybrid, which means you will be required to work some days at our Best Buy office in Richfield, Minnesota, or New York City, and some days virtually from home or another non-Best Buy location. Candidates outside these metro areas may qualify for remote work. The recruiter or hiring manager will provide more details during the hiring process.

Requirements

3 years of experience in ad tech including yield management, programmatic advertising, or ad operations
1 year of experience working in a Retail Media Network
4 years of experience in analytics, business intelligence, or data science
Strong understanding of inventory pricing mechanics, keyword analysis, floor pricing, and sellthrough optimization
1 year experience working within a retail media network or comparable publisher-side ad platform
1 year hands-on experience with Google Ad Manager (GAM), Search, and Sponsored Product Pricing
Excellent communication skills, with the ability to collaborate effectively with cross-functional partners and present data-driven findings to non-technical stakeholders
Proven ability to operate in a fast-paced, matrixed environment, managing multiple priorities and adapting to changing business needs

Nice To Haves

Proficiency in SQL for data extraction and analysis
Experience with Magnite or other SSP/ad server platforms
Bachelor’s degree or higher in a quantitative field (Statistics, Economics, Computer Science, or similar)
Strong critical thinking and problem-solving skills, with a track record of translating analysis into business impact
Experience influencing decisions through partnership rather than authority across cross-functional teams

Responsibilities

Analyze floor pricing and inventory allocation to identify yield optimization opportunities, applying critical thinking to diagnose underperformance and surface actionable recommendations
Deliver recurring and ad hoc analyses for sales and senior leadership to support strategic long-term and short-term decisions across product, sales, partnerships, media planning, and GTM
Translate complex, ambiguous data into clear, executive-ready narratives and dashboards that influence decision-making
Provide recurring communication to Ads leadership on revenue, margin, sell-through, and sponsorship performance, adapting insights as market dynamics shift
Provide requirements to product analytics for dashboard creation, balancing standardization with evolving business needs