Netflix
Senior Measurement Partner, EMEA (FTC)

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Netflix is the world's leading streaming entertainment service with over 230 million paid memberships in over 190 countries. Our mission is to entertain the world and we are constantly innovating to bring the best stories from around the world to our members. With the incredible launch of our ad supported model, we are now working toward providing more choices for consumers and a premium brand experience for advertisers.
Netflix’s Ads Measurement team is looking for an Ads Measurement Specialist, EMEA to join the team on a parental cover basis. The successful candidate will work cross-functionally with the local measurement teams, marketing, consumer insights, data science, sponsorships, and our vendor partners. If you are someone who is a self-starter, loves the details, and thrives in a collaborative environment, Netflix may be the place for you.
This is a 12 month FTC
Key Responsibilities
- Work closely with the broader Ads Measurement team (within EMEA and globally) and cross‑functional partners to scale measurement, insights, and thought leadership for both internal and external stakeholders.
- Produce research and insights that tell the Netflix Ads story to the marketplace and advertiser clients, covering areas such as audience insights, reach & frequency, campaign verification, and campaign effectiveness.
- Pull and integrate data from multiple proprietary tools and dashboards (e.g. audience, viewership, campaign performance), as well as syndicated research tools (e.g. GWI), to create a holistic view of the Netflix Ads audience.
- Use proprietary and syndicated tools to create, structure, and synthesise large datasets to identify the most relevant and actionable data points for stakeholders, and translate these into clear, insight‑led outputs (e.g. charts, dashboards, and narrative summaries).
- Design, script, and manage a regional vertical insight programme to understand how the Netflix Ads audience responds to specific advertiser categories (e.g. entertainment, retail, automotive, finance).
- Respond to day‑to‑day insight and measurement requests from the Global Brand Advertising team and other internal partners in a timely and structured way.
- Contribute to team operations and process improvements, including vendor onboarding, vendor relationship management, and establishing efficient, repeatable ways of working.
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StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
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Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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Experience & Skills


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- 7 or more years experience in media research at Streaming, TV, or digital media companies.
- Strong understanding of methodology, data, and systems from syndicated research providers (e.g. GWI) & survey scripting tools, as well as direct digital technology and analytics.
- Strong data literacy and comfort working with multiple data sources and tools; able to independently pull, merge, and interpret data from multiple sources
- Experienced in effectiveness measurement such as Reach & Frequency, Brand Lift, Matched-Market testing, A/B testing, Marketing Mix Models and bespoke campaign effectiveness studies, including questionnaire scripting.
- Able to manage projects independently with strong attention to detail.
- Highly organised and experienced in building and following processes to make working methods more efficient.
- Comfortable working in an evolving environment with ambiguity and changing priorities.
- Builds strong relationships with colleagues; values diverse perspectives for better decision-making.
- Knowledge of the advertising landscape across all kinds of media channels and methods of buying. Ideally, with a TV focus.
- Highly curious, always looking for the meaning behind data.
- Excellent writing and presentation-building skills.
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