MBN Solutions
Media Measurement Manager (Marketing Science)

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Media Measurement Manager
London (Hybrid) | £80,000–£95,000 + Bonus
We've been retained by a well-known UK consumer brand to hire a Media Measurement Manager for their marketing science team.
This is a hands-on, technical role for someone who wants to own how the business proves what's actually working in media. You'll set the standards the KPIs, the methods, the bar for what counts as good evidence and use them to bring together everything from brand tracking and econometrics to platform data and campaign results into one clear, trusted picture.
A big part of the job is testing: designing and running geo-experiments and other incrementality tests that show, with real statistical rigour, what's driving growth and what isn't. You'll take these from initial design through to the final recommendation, and you'll be the person other teams planning, strategy, digital, data science come to for a straight answer on what the numbers really mean.
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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
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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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The role:
- Set and own the measurement standards used across the business — how effectiveness is judged, channel by channel
- Design and run incrementality tests (geo-experiments and similar), handling everything from test design to results
- Act as the go-to expert when teams need to interpret data, question a result, or sanity-check a methodology
- Help shape how attribution and platform data are used to read digital campaign performance
- Grow the measurement team's capability and mentor more junior analysts
What you'll need:


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- Solid grounding in experimental design and causal inference — you've actually run tests like this before, not just read about them
- Comfortable moving between econometrics, digital attribution and platform-level data, and know where each one falls short
- Strong SQL, plus Python or similar, for pulling apart and automating your own analysis
- A knack for turning dense analysis into something a non-technical stakeholder will actually act on
- Some experience managing or mentoring other analysts
Bonus points for: MMM background, hands-on digital measurement work, or experience pushing back on an agency's or platform's own measurement claims.
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