Manager, Data Analytics, Pricing & Yield Management

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

For over 125 years, Thomas has been the definitive resource for industrial buyers and suppliers across North America. Today,  is the leading digital platform for industrial product discovery and supplier selection connecting more than 1.4 million active buyers including engineers, procurement managers, and MRO professionals with over 500,000 North American manufacturers and distributors across 70,000 product categories. No other platform in the industrial space operates at this depth or scale.

Thomas Analytics is the data and intelligence function at the heart of that network — owning the analytical infrastructure that connects buyer demand to supplier performance and drives Thomas's growth strategy.

Thomas is seeking a Manager or Staff-level Data Analyst, Pricing and Yield Management to manage its supplier-side yield, monetization and pricing analytics practice. This role reports to the Director of Data Engineering and Analytics, based in Bethesda, MD. The person in this role will systematically unlock the revenue that already lives inside the Thomas network, through yield scoring, pricing optimization, keyword monetization, and supplier retention analytics.

This is a builder role and a senior partnership role at the same time. You will work directly with our General Manager, Product, Operations and Engineering Directors who run the business on data, serving as the analytical voice in the room, generating insights quickly, and connecting the dots across buyer demand, supplier performance, and revenue trends to drive faster decisions. You are equally comfortable shaping strategy and getting hands‑on to build the model or dashboard that makes it real.

• Supplier Yield and Ad Monetization Build yield scoring, ad performance dashboards, and pricing infrastructure. Surface pricing and inventory gaps before they appear in aggregate reporting.
• Pricing Strategy and Monetization Analysis: Own the analytical framework behind supplier advertising pricing and incentive programs. Quantify the revenue impact of discount and rebate programs
• Category and Keyword Performance: Build the category-level data model across Thomas's industrial verticals and identify under‑monetized keyword inventory. Translate findings into expansion and pricing recommendations
• Retention, Churn, and Win-Back Analytics: Build predictive churn models using propensity and velocity scoring. Develop cohort analyses to surface early retention signals and provide prioritized recommendations to sales, customer success, and product
• AI-Powered Analytics and Experimentation: Apply AI and machine learning to build smarter pricing and retention models. Design and execute A/B tests across pricing and supplier engagement interventions

• Bachelor's degree in a quantitative field (Economics, Statistics, Data Science, Applied Mathematics, Computer Science, Engineering) with 7+ years of experience, OR Master's degree with 5+ years
• 6 or more years in pricing analytics, yield management, or growth analytics at a marketplace, ad platform, or performance-based business. Direct experience with lead-gen, pay-per-lead, or auction-based pricing models is strongly preferred
• Background in ad tech, programmatic advertising, marketplace monetization, or two-sided platform economics
• Hands‑on machine learning experience in a production environment, including classification, regression, and time series forecasting. You have built models that shipped, not just prototypes
• Demonstrated experience building churn propensity models, velocity scoring, and cohort retention analysis. You know how to find risk early and translate it into action
• Strong SQL and fluency with Snowflake, dbt, and Looker. You build the data models and dashboards yourself and do not wait for someone…