Manager, Data Analytics, Pricing & Yield Management

How You’ll Contribute:

• 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

What You'll Bring to Xometry:

• 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 else to pull the data

• Hands-on A/B testing experience including test design, sample sizing, and interpreting results in a live marketplace or ad auction environment

• Comfortable using AI tools to accelerate analysis, augment modeling workflows, and generate insights at scale

• Exceptional communication and data storytelling skills — able to translate complex pricing and marketplace dynamics into clear narratives for general managers and non-technical stakeholders

• Proven stakeholder partner across Sale, finance, and product. You earn trust through rigor and consistency, not just output

• Documented, specific revenue impact from analytical work you personally owned and delivered

• A structured problem-solver comfortable diagnosing ambiguous marketplace and liquidity challenges and building the analytical framework to address them

Preferred

• B2B marketplace or supplier-side monetization experience

• Churn and renewal modeling for subscription-based marketplace or SaaS products

• Experience with ad server platforms and CRM systems in a monetization context