Sr. Analyst, Ad Forecasting & Inventory Yield

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 RevOps 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 evaluate AI-generated outputs for accuracy, bias, and business applicability 
• Experience or strong interest in applying AI to forecasting, anomaly detection, scenario modeling, or other analytical use cases 
• Familiarity with prompt engineering or integrating AI tools into analytical workflows is a plus 

Soft Skills 

• Excellent communication skills; able to present complex topics succinctly to technical and non-technical stakeholders 
• Strong project management and detail orientation; manages multiple priorities in a fast-paced environment 
• Works autonomously with a bias for creative, data-driven solutions to ambiguous problems 

Characteristics of Success at Roku 

• Self-motivated — drives work forward without waiting for direction 
• Positive & collaborative — builds strong cross-functional relationships 
• Non-political — focused on what's best for the business 
• Results-oriented — bias toward action and measurable impact 
• Practical — balances rigor with speed 
• Hands-on — dives into details while thinking strategically 

If you thrive at the intersection of analytics, forecasting, and business strategy — and you're excited to use both traditional and AI-powered tools to shape how Roku manages and monetizes ad inventory at scale — we'd love to hear from you. 

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