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XometryPosted 1 week ago

Staff, Data Analytics, Pricing and Yield Management

$125,000–$145,000 year

HybridWaltham, Massachusetts, United States

Full TimeSenior LevelLargeManufacturing Platform

Job Summary

Build yield scoring, ad performance dashboards, and pricing infrastructure to surface inventory gaps before aggregate reporting. Own the analytical framework behind supplier advertising pricing, quantifying revenue impacts of discount and rebate programs. Develop category-level data models to identify under-monetized keyword inventory and translate findings into expansion recommendations. Construct predictive churn models using propensity and velocity scoring, while designing cohort analyses to surface early retention signals. Apply AI and machine learning to build smarter pricing and retention models, executing A/B tests across pricing and supplier engagement interventions.

Required Qualifications

  • Bachelor's degree in a quantitative field (Economics, Statistics, Data Science, Applied Mathematics, Computer Science, Engineering)
  • 7+ years of experience
  • 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
  • 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
  • Demonstrated experience building churn propensity models, velocity scoring, and cohort retention analysis
  • Strong SQL and fluency with Snowflake, dbt, and Looker
  • 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
  • Proven stakeholder partner across Sale, finance, and product
  • 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
  • Bachelor's degree in a quantitative field (Economics, Statistics, Data Science, Applied Mathematics, Computer Science, Engineering) with 7+ years of experience
  • 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
  • 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
  • Demonstrated experience building churn propensity models, velocity scoring, and cohort retention analysis
  • Strong SQL and fluency with Snowflake, dbt, and Looker
  • 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
  • Proven stakeholder partner across Sale, finance, and product
  • 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
  • Must be able to lift 50 lbs
  • Must be available for weekend shifts
  • Valid driver's license
  • Order to Cash
  • Procure to Pay
  • Supply Chain
  • Customers
  • Suppliers

Desired Qualifications

  • Master's degree 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

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