Senior Data Analyst, Inventory Monetization

The Washington Post•Washington, DC

41d•Onsite

About The Position

We're on a mission to deliver riveting storytelling for all of America. At The Washington Post, you'll help reinvent news. Our work is driven by a deep investigative spirit and enhanced by innovation to bring audiences closer to the stories that matter most. The DAI (Data, Analytics & Insights) department drives strategic and operational decisions for The Washington Post. This highly visible team applies data, analytics, and research to support strategic initiatives and day-to-day operational support company-wide. As our Senior Analyst, Inventory Monetization, you will provide analytical leadership to optimize the management, structure, and growth of advertising inventory across digital platforms. This role supports product roadmap decisions and revenue maximization by deeply analyzing inventory supply, ad performance, site structure, and yield strategies. You will partner closely with Product, Ad Tech, and Revenue Strategy teams to ensure alignment between what we build and where growth opportunities lie. You will collaborate cross-functionally with Product Management, Engineering, Ad Operations, Sales, and Finance. The ideal candidate combines a deep understanding of digital advertising inventory dynamics, strong technical skills, and a passion for actionable insight generation.

Requirements

Bachelor's or Master's in Business Analytics, Finance, Economics, Statistics, or a related field.
4+ years of experience in advertising analytics, pricing/yield analysis, or revenue strategy-ideally in publishing, media, or ad tech.
Proven ability to analyze large datasets and deliver actionable insights related to pricing, revenue, and inventory performance.
Hands-on experience with SQL and data visualization tools (e.g., Tableau, Power BI).
Strong understanding of digital advertising metrics and monetization levers, including CPM, fill rate, viewability, floor pricing, and inventory allocation.
Familiarity with adtech platforms such as Google Ad Manager, Operative, The Trade Desk, and ideally Permutive or other CDPs.

Nice To Haves

Experience working directly with Yield or Pricing teams to support rate card and monetization strategy.
Understanding of both direct-sold and programmatic revenue models (open exchange, PMP, programmatic guaranteed).
Experience tracking monetization performance across formats like display, video, native, branded content, or audio.
Familiarity with pricing experimentation, bundling strategy, or forecasting in a media environment.
Comfort supporting stakeholders across commercial, technical, and product teams.
Interest or experience in using AI or machine learning to inform monetization, pricing, or packaging.

Responsibilities

Analyze how inventory structure, site design, and user behavior impact direct and programmatic revenue streams.
Partner with Product and Engineering teams to model the financial impact of roadmap and site architecture changes.
Own tactical diagnostics of ad delivery and yield, surfacing optimization opportunities to Ad Operations.
Develop benchmarks, KPIs, and dashboards to track inventory performance across platforms and ad types.
Support experimental monetization initiatives with structured data analysis and feedback loops.
Partner with Product teams to provide feedback on inventory creation, ad product performance, and monetization opportunities.
Occasionally support analysis of campaign-level or audience-level performance, particularly where it intersects with pricing or inventory yield.
Contribute to longer-term efforts around AI/automation in inventory management, pricing optimization, and revenue forecasting.