Senior Analyst, Ad Forecasting & Inventory Yield

External

Roku · New York, NY

$135K–$145K/yrFull-timeOn-siteToday

Data AnalysisDocumentationExcelForecastingLeadershipLooker

Cover Letter Connect

Prepare for this interview

Elite

AI-generated questions, company research, and talking points tailored to this role

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 $135,000 - $145,000 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.

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

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 accurac

Senior Analyst, Ad Forecasting & Inventory Yield

About the role

Responsibilities

Benefits

Additional Information

Your Match

Company Intel

What employees say

Interested in this role?