Sr. Analyst, Ad Forecasting & Inventory Yield

Roku • New York, NY

5d • Hybrid

About The Position

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.

Requirements

• 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
• 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
• 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
• 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

Nice To Haves

• programmatic buying/selling and auction dynamics experience is a plus
• Familiarity with prompt engineering or integrating AI tools into analytical workflows is a plus

Responsibilities

• 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

Benefits

• health insurance
• equity awards
• life insurance
• disability benefits
• parental leave
• wellness benefits
• paid time off
• global access to mental health and financial wellness support and resources
• statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed