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Lead Analyst, Ad Forecasting & Inventory Yield

Remote / Online - Candidates ideally in
Santa Monica, Los Angeles County, California, 90403, USA
Listing for: Segment (Twilio)
Remote/Work from Home position
Listed on 2026-07-30
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, Business Systems & Technology Analysis
  • Business
    Data Analyst, Business Intelligence, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 150000 - 170000 USD Yearly USD 150000.00 170000.00 YEAR
Job Description & How to Apply Below

Overview

Roku is the leading TV streaming platform in the U.S., Canada, and Mexico. The company connects consumers to content, publishers to audiences, and advertisers to opportunities across its AVOD ecosystem. The role is for a Lead Analyst, Ads Forecasting & Inventory Yield, reporting to the Sr. Manager, Ad Forecasting & Inventory Yield, within Revenue Operations. This is a hybrid position based in New York or Santa Monica, with in-office days Monday–Thursday and optional remote work on Friday.

The annual salary range cited is $150,000–$170,000, subject to candidate qualifications and location. Benefits include health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off, with location-dependent variations. Accommodations are available and Roku provides resources to support diverse applicants. This description preserves the job content and intent for the Lead Analyst role focused on forecasting, inventory yield, and strategic monetization across Roku’s ad ecosystem.

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 to inform executive decision-making.
  • Build and maintain analytical frameworks that measure forecast performance, identify gaps, quantify risks and opportunities, and influence roadmaps and business strategy.
  • Lead recurring cross-functional meetings with Revenue Operations, Finance, and Product leadership to translate 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 Rev Ops 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.
What you’ll need to have Experience
  • 7–10+ years in digital advertising, streaming/CTV, or related fields in inventory, yield, revenue operations, forecasting, or business analytics.
  • Experience partnering with and presenting to Directors, VPs, and executive stakeholders in a high-growth media/tech or streaming environment.
  • Proven track record leading complex, cross-functional projects end-to-end with minimal oversight, from problem definition through implementation and impact measurement.
  • Demonstrated experience mentoring or informally leading junior analysts and delegating work streams 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.
  • Experi…
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