Lead Analyst, Ad Forecasting & Inventory Yield

 

About The Role 

We’re seeking a Lead Analyst, Ads Forecasting & Inventory Yield to serve as a strategic individual contributor and functional expert on our team of forecasting and yield specialists working to maximize profitable ad revenue across Roku’s AVOD ecosystem. This role combines deep analytical expertise, cross-functional leadership, and hands-on execution to influence business strategy, drive forecast accuracy, optimize inventory monetization, and mentor team members. The ideal candidate brings top-tier quantitative skills, mastery of large-scale advertising data, the ability to manage upward to senior leadership, and demonstrated experience leveraging AI and automation to accelerate analytical workflows at scale. This position reports to the Sr. Manager, Ad Forecasting & Inventory Yield, within Revenue Operations. Based in our New York office. 

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, New York. 

For New York - The estimated annual salary for this position is between $150,000 - $170,000 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  

• Serve as the primary DRI for end-to-end forecast reporting (demand, supply, yield), driving strategic insights into revenue, gross profit, sell-through, fill rate, and other key KPIs across the Roku ads ecosystem 
• Own global demand forecasts and in-quarter revenue pacing views; architect tools for scenario analysis, what-if modeling, and performance-versus-plan tracking that inform executive decision-making 
• Build and maintain analytical frameworks that measure forecast performance, identify gaps, quantify risks and opportunities, and directly influence roadmaps and business strategy 
• Lead recurring cross-functional meetings and forums with Revenue Operations, Finance, and Product leadership — translating forecast and inventory insights into pricing, packaging, and yield strategies 
• Proactively identify, develop, and execute recommendations to improve monetization and gross profitability 
• Standardize, centralize, and define new metrics that give RevOps and executive leadership clear views into business health from an inventory, yield, and product perspective 
• Own the roadmap for the team’s scalable dashboard suite, including enhancements, tech debt reduction, and automation priorities; delegate and oversee execution across junior resources 
• Serve as the primary stakeholder (DRI) on specific ad products and systems related to monetization, yield optimization, and operational efficiency 
• Collaborate with Business Automation, Data Engineering, and Product teams to ensure reporting requirements are represented in data models and pipelines; initiate cross-functional projects where gaps exist 
• Independently lead large-scale presentations to senior leadership, connecting analytical insights to broader business strategy and outcomes 
• Deliver ad hoc analysis and strategic insights as Roku explores new ad units, formats, packaging, and business development initiatives 

 

We’re excited it you have  

Experience 

• 7–10+ years in digital advertising, streaming/CTV, or related fields in an inventory, yield, revenue operations, forecasting, or business analytics role 
• Experience partnering with and presenting to Directors, VPs, and executive stakeholders in a high-growth media/tech or streaming environment strongly preferred 
• Proven track record leading complex, cross-functional projects end-to-end — from problem definition through implementation, change management, and impact measurement — with minimal oversight 
• Demonstrated experience mentoring or informally leading junior analysts and delegating workstreams effectively 
• Domain & Technical Skills 
• Top-tier technical repertoire: SQL, data visualization, Excel modeling, and executive-ready presentation — recognized as a functional expert across the organization 
• 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) with the ability to influence product roadmaps 
• Highly proficient in Excel (advanced formulas, modeling, scenario analysis) and PowerPoint for executive-ready storytelling 
• Experience with BI tools (Looker, Tableau, or similar) for dashboard development, self-service analytics, and automation 

Soft Skills 

• Executive-style communication — clear, concise, solution-oriented; able to independently present complex topics to Directors and Executives with confidence 
• Strong project management and detail orientation; manages multiple large-scale initiatives with minimal oversight, informing and updating leadership proactively 
• Works autonomously with full command of the business; builds consensus and alignment across stakeholders before executing 
• Serves as an organization-wide ‘Go To’ for a specific skillset or body of knowledge 
• Characteristics of Success at Roku 
• Self-motivated — drives work forward without waiting for direction; pushes large-scale initiatives independently 
• Positive & collaborative — builds strong, strategic cross-functional relationships 
• Non-political — focused on what’s best for the business 
• Results-oriented — bias toward action and measurable impact; influences outcomes and strategy 
• Practical — balances rigor with speed 
• Hands-on — dives into details while thinking strategically; elevates the team 

 

If you thrive at the intersection of analytics, forecasting, and business strategy — and you’re ready to serve as a strategic leader to shape how Roku manages and monetizes ad inventory at scale — we’d love to hear from you. 

 

 

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