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Sr. Analyst, Ad Forecasting & Inventory Yield

Remote / Online - Candidates ideally in
New York, New York County, New York, 10261, USA
Listing for: Roku
Remote/Work from Home position
Listed on 2026-07-01
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, Business Systems/ Tech Analyst
  • Business
    Data Analyst, Business Intelligence, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 140000 - 150000 USD Yearly USD 140000.00 150000.00 YEAR
Job Description & How to Apply Below
Location: New York

Teamwork makes the stream work.
Roku is changing how the world watches TV About the Role

We're seeking a Senior Analyst, Ads Forecasting & Inventory Yield to join our team of forecasting and yield specialists working to maximize profitable ad revenue across Roku's AVOD ecosystem. This role combines analytical rigor, strategic thinking, and hands‑on execution to improve forecast accuracy, optimize inventory utilization, and support key monetization decisions. The ideal candidate brings strong quantitative skills, experience with large‑scale advertising data, cross‑functional fluency, and a demonstrated ability to leverage AI and automation to accelerate analytical workflows.

This position reports to the Sr. Manager, Ad Forecasting & Inventory Yield, within Revenue Operations.

This position is a hybrid role, Monday – Thursday in office with the option to work from home on Friday. This position is based in New York, NY.

For New York – The estimated annual salary for this position is between $140,000 - $150,000 annually.

Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

What you'll be doing
  • Own and enhance end‑to‑end forecast reporting (demand, supply, yield), advancing insights into revenue, gross profit, sell‑through, fill rate, and other key KPIs
  • Own global demand forecasts and in‑quarter revenue pacing views; design tools for scenario analysis, what‑if modeling, and performance‑versus‑plan tracking
  • Build analytical frameworks that measure forecast performance, identify gaps, and quantify risks and opportunities across the ads business
  • Partner with Revenue Operations and Sales leadership to translate forecast and inventory insights into pricing, packaging, and yield strategies
  • Proactively identify under‑utilized inventory segments and recommend actions to improve monetization
  • Standardize, centralize, and define new metrics that give Rev Ops leadership clear views into business health from an inventory, yield, and product perspective
  • Build and maintain a scalable dashboard suite; own the roadmap for enhancements, tech debt, and automation priorities
  • Collaborate with Business Automation, Data Engineering, and Product teams to ensure reporting requirements are represented in data models and pipelines
  • Define escalation paths within Revenue Operations for data outages, dashboard issues, and forecast anomalies, including SLAs and communication norms
  • Create documentation and SOPs for dashboards, reports, analytical workflows, and AI‑assisted processes; mentor junior analysts on tools and best practices
  • Deliver ad hoc analysis and strategic insights as Roku explores new ad units, formats, packaging, and business development initiatives
We're excited if you have
  • 5–8+ years in digital advertising, streaming/CTV, or related fields in an inventory, yield, revenue operations, forecasting, or business analytics role
  • Experience partnering with Sales, Finance, or Product teams in a high‑growth media/tech or streaming environment strongly preferred
  • Proven track record leading projects end‑to‑end – from problem definition through implementation, change management, and impact measurement
Domain & Technical Skills
  • Strong knowledge of digital ad serving tools, industry metrics, and terminology; programmatic buying/selling and auction dynamics experience is a plus
  • Solid understanding of yield and monetization strategy (floor pricing, packaging, auction dynamics, supply/demand balancing)
  • Highly proficient in Excel (advanced formulas, modeling, scenario analysis) and PowerPoint for executive‑ready storytelling
  • Hands‑on SQL experience for extracting and transforming large datasets
  • Experience with BI tools (Looker, Tableau, or similar) for dashboard development and self‑service analytics
AI & Automation Proficiency
  • Demonstrated experience using AI/LLM tools (e.g., Claude, ChatGPT, Copilot) to accelerate data analysis, automate workflows, and generate or debug code
  • Ability to critically…
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