> Markdown version of [/jobs/ext/3416764-manager-or-staff-level-data-analyst-pricing-and-yield-management](https://www.wearedevelopers.com/jobs/ext/3416764-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