Manager, Data Analytics, Pricing & Yield Management

Xometry
Denver
Workplace: HybridFull timeUSD 135,000 - 160,000 annuallyFunction: Data Analytics & Business IntelligenceExperience: 7+ yearsEducation: bachelorsSkills: ["Communication","Data storytelling","Problem-solving","Stakeholder partnership","Data-driven decision-making"]

Manage Thomas Analytics’ supplier-side yield, pricing, and monetization practice by building revenue-driving analytics and dashboards. Lead yield scoring, pricing optimization, keyword monetization, and supplier retention analytics—translating buyer demand and supplier performance into fast, actionable insights. Own analytical frameworks for pricing and incentive programs, develop churn and win-back predictive models, and apply machine learning plus A/B testing to improve supplier engagement interventions.

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Xometry
Xometry
11 hours ago

Manager, Data Analytics, Pricing & Yield Management

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Last checked: 8 hours agoStatus: Live

Job Summary

Manage Thomas Analytics’ supplier-side yield, pricing, and monetization practice by building revenue-driving analytics and dashboards. Lead yield scoring, pricing optimization, keyword monetization, and supplier retention analytics—translating buyer demand and supplier performance into fast, actionable insights. Own analytical frameworks for pricing and incentive programs, develop churn and win-back predictive models, and apply machine learning plus A/B testing to improve supplier engagement interventions.
Location: Denver
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Manager level

Key Responsibilities

  • •Build yield scoring, ad performance dashboards, and pricing infrastructure to identify pricing and inventory gaps early.
  • •Own supplier advertising pricing and incentive analytical frameworks, including measuring revenue impact of discount and rebate programs.
  • •Develop category and keyword performance models to identify under-monetized keyword inventory and translate findings into pricing recommendations.
  • •Create predictive churn, win-back, and retention analytics using propensity/velocity scoring and cohort analyses for prioritized recommendations.
  • •Apply AI/ML to pricing and retention models and design/execute A/B tests across pricing and supplier engagement interventions.

Pay and Benefits

Salary: USD 135,000 - 160,000 annually
Perks:401kHealth InsuranceDentalVisionPaid LeaveLife Insurance

Key Requirements

  • •Bachelor’s in a quantitative field with 7+ years of experience, or a Master’s with 5+ years.
  • •6+ years in pricing analytics, yield management, or growth analytics in a marketplace, ad platform, or performance-based business.
  • •Hands-on machine learning experience in production (classification, regression, time series forecasting) with models shipped.
  • •Demonstrated experience building churn propensity models, velocity scoring, and cohort retention analysis.
  • •Strong SQL with fluency in Snowflake, dbt, and Looker to build data models and dashboards yourself.
Experience:7+ yearsMarketplaceAd techProgrammatic advertisingTwo-sided platform
Education:Bachelor's in Economics, Statistics, Data Science, Applied Mathematics, Computer Science, Engineering
Skills:CommunicationData storytellingProblem-solvingStakeholder partnershipData-driven decision-making
Languages:English
Tech Stack:SQLSnowflakeDbtLookerMachine learningClassificationRegressionTime series forecastingA/B testing

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Xometry
Operates an on-demand digital manufacturing marketplace connecting buyers with manufacturing partners for CNC machining, 3D printing, sheet metal, injection molding and other custom parts, leveraging instant quoting and supply chain services.
Industry: Online Marketplaces
Company Size: Enterprise (1,001+ employees)
Revenue: USD 100M to 250M
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Rockville, United States
Founded: 2013
Glassdoor
Glassdoor: 3.8
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