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Manager, Data Analytics, Pricing & Yield Management
ICT
💰 Salary 11,250 EUR–13,333 EUR/mo (135,000 EUR–160,000 EUR/yr)
📊 Market NA
About the Company
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, thomasnet.com 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 gettin
Requirements
- ● 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
- ● 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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