Manager, Data Analytics, Pricing & Yield Management

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.

Responsibilities

Manage supplier-side yield, monetization and pricing analytics practice; Build yield scoring, ad performance dashboards, and pricing infrastructure; Own the analytical framework behind supplier advertising pricing and incentive programs and quantify revenue impact of discount and rebate programs; Build category-level data model across Thomas's industrial verticals and identify under-monetized keyword inventory; Build predictive churn models using propensity and velocity scoring and develop cohort analyses; Apply AI and machine learning to build smarter pricing and retention models and design and execute A/B tests across pricing and supplier engagement interventions

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; 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 Sales, finance, and product; Documented, specific revenue impact from analytical work personally owned and delivered; Structured problem-solver comfortable diagnosing ambiguous marketplace and liquidity challenges and building the analytical framework to address them

Nice to have

Direct experience with lead-gen, pay-per-lead, or auction-based pricing models (strongly 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

Benefits

Bonus; 401(k) match; medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP; other wellbeing resources