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Associate – Ads Revenue & Yield Analytics – Programmatic Monetization
| Company | Netflix |
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| Location | Los Angeles, CA, USA |
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| Salary | $50000 – $240000 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Mid Level, Senior |
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Requirements
- 4+ years of experience in ad tech, programmatic advertising, revenue/yield analytics, or digital media strategy—preferably within a publisher, SSP, or DSP environment
- Highly analytical with demonstrated experience in quantitative analysis, revenue modeling, and large data set manipulation
- 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
- Advanced in Excel/Google Sheets; experience with data visualization tools such as Preset, Tableau or Looker preferred
- Strong attention to detail and ability to synthesize complex datasets into clear, compelling narratives and action plans
- Self-starter with the ability to work independently and collaboratively in a fast-paced environment
- Excellent written and verbal communication skills with the ability to tailor messaging to cross-functional audiences
- Passionate about solving problems, curious about the evolving ad ecosystem, and motivated by impact
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.
Preferred Qualifications
- Experience with data visualization tools such as Preset, Tableau or Looker preferred
