Associate, Ads Revenue & Yield Analytics (Programmatic Monetization)

Netflix

full-time

Posted: July 7, 2025

Number of Vacancies: 1

Job Description

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.Within the broader Finance & Strategy (F&S) organization, we’re building out our Ads Revenue & Yield Analytics team, who will help steward and support our Ads go-to-market strategy. In this role, you will support Programmatic Monetization on a global scale, inclusive of Yield and Marketplace Strategy, with a specialization in Bid landscape analytics. This position sits within the F&S, Ads Revenue & Yield Analytics (UCAN) team.In tandem, you will have the opportunity to learn and grow quickly in this space, working closely with a global, cross-functional team across F&S, Data Science/Engineering, Product, Sales Solutions, and Programmatic Partnerships to help build a cohesive understanding and unified approach to programmatic advertising at Netflix.Responsibilities will include:Lead the analysis of programmatic auction data to uncover buyer-specific bidding patterns, CPM elasticity, and bid journey trends across open and private marketplaces—driving yield optimization and monetization insights.Drive monetization strategy across programmatic deal structures by optimizing pricing, refining bid guidance, and implementing supply segmentation tactics.Collaborate with Sales Solutions to develop and execute a go-to-market framework that accelerates programmatic revenue growth across key partners and regional markets.Partner with F&S, DSE, and Product to build a learning agenda and test & learn opportunities for programmatic supply and demand tacticsAssist DSE in building and maintaining business intelligence tools and dashboards that drive visibility into programmatic performanceInform quarterly, annual, and long-term forecasting inputs and drivers for programmatic globally.What we’re looking for:4+ years of experience in ad tech, programmatic advertising, revenue/yield analytics, or digital media strategy—preferably within a publisher, SSP, or DSP environmentHighly analytical with demonstrated experience in quantitative analysis, revenue modeling, and large data set manipulationFamiliarity with SSP and DSP platforms (e.g., DV360, The Trade Desk) and an experienced understanding of how auction dynamics and pricing levers influence monetizationAdvanced in Excel/Google Sheets; experience with data visualization tools such as Preset, Tableau or Looker preferredStrong attention to detail and ability to synthesize complex datasets into clear, compelling narratives and action plansSelf-starter with the ability to work independently and collaboratively in a fast-paced environmentExcellent written and verbal communication skills with the ability to tailor messaging to cross-functional audiencesPassionate about solving problems, curious about the evolving ad ecosystem, and motivated by impactOur compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $50,000 - $240,000.Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Locations

  • Los Angeles, California, United States of America

Salary

50,000 - 240,000 USD / yearly

Estimated Salary Rangemedium confidence

140,000 - 200,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • experience in ad techintermediate
  • experience in programmatic advertisingintermediate
  • experience in revenue/yield analyticsintermediate
  • experience in digital media strategyintermediate
  • experience in quantitative analysisintermediate
  • experience in revenue modelingintermediate
  • experience in large data set manipulationintermediate
  • Familiarity with SSP and DSP platformsintermediate
  • understanding of how auction dynamics and pricing levers influence monetizationintermediate
  • Advanced in Excel/Google Sheetsintermediate
  • experience with data visualization tools such as Preset, Tableau or Lookerintermediate

Required Qualifications

  • 4+ years of experience in ad tech, programmatic advertising, revenue/yield analytics, or digital media strategy—preferably within a publisher, SSP, or DSP environment (experience, 4 years)
  • Highly analytical with demonstrated experience in quantitative analysis, revenue modeling, and large data set manipulation (experience)
  • Familiarity with SSP and DSP platforms (e.g., DV360, The Trade Desk) and an experienced understanding of how auction dynamics and pricing levers influence monetization (experience)
  • Advanced in Excel/Google Sheets; experience with data visualization tools such as Preset, Tableau or Looker preferred (experience)
  • Strong attention to detail and ability to synthesize complex datasets into clear, compelling narratives and action plans (experience)
  • Self-starter with the ability to work independently and collaboratively in a fast-paced environment (experience)
  • Excellent written and verbal communication skills with the ability to tailor messaging to cross-functional audiences (experience)
  • Passionate about solving problems, curious about the evolving ad ecosystem, and motivated by impact (experience)

Responsibilities

  • Lead the analysis of programmatic auction data to uncover buyer-specific bidding patterns, CPM elasticity, and bid journey trends across open and private marketplaces—driving yield optimization and monetization insights.
  • Drive monetization strategy across programmatic deal structures by optimizing pricing, refining bid guidance, and implementing supply segmentation tactics.
  • Collaborate with Sales Solutions to develop and execute a go-to-market framework that accelerates programmatic revenue growth across key partners and regional markets.
  • Partner with F&S, DSE, and Product to build a learning agenda and test & learn opportunities for programmatic supply and demand tactics
  • Assist DSE in building and maintaining business intelligence tools and dashboards that drive visibility into programmatic performance
  • Inform quarterly, annual, and long-term forecasting inputs and drivers for programmatic globally.

Benefits

  • general: Health Plans
  • general: Mental Health support
  • general: a 401(k) Retirement Plan with employer match
  • general: Stock Option Program
  • general: Disability Programs
  • general: Health Savings and Flexible Spending Accounts
  • general: Family-forming benefits
  • general: Life and Serious Injury Benefits
  • general: paid leave of absence programs
  • general: Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off.
  • general: Full-time salaried employees are immediately entitled to flexible time off.

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https://explore.jobs.netflix.net/careers/job/790304020453?microsite=netflix.com

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