> Markdown version of [/jobs/ext/2710907-manager-or-staff-level-data-analyst-pricing-and-yield-management](https://www.wearedevelopers.com/jobs/ext/2710907-manager-or-staff-level-data-analyst-pricing-and-yield-management). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager or Staff-level Data Analyst, Pricing and Yield Management - **Company:** THOMAS ANALYTICS, LLC - **Location:** Durham, NC, United States - **Experience:** Expert - **Salary:** $135,000.0 - $160,000.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Artificial Intelligence, Data Analysis, Software as a Service, Machine Learning, Standard Sql, Snowflake, Information Technology, Data Analytics, Marketplace, Looker Analytics - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/manager-data-analytics-pricing-yield-management-xometry-2-9031762 ## About the Role * 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, For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. ## Description 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 ## Related Videos - [Launching a marketplace on-time: A lesson in taking shortcuts using spreadsheets!](https://www.wearedevelopers.com/videos/477-launching-a-marketplace-on-time-a-lesson-in-taking-shortcuts-using-spreadsheets) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application) - [Would You Buy Your Own HR? 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