Media Measurement Manager (Marketing Science)

MBN Solutions; Slough; Hybrid; GBP 80,000 - 95,000; Full time

Benefits offered by this job

Bonus

Job summary

MBN Solutions is recruiting a Media Measurement Manager for a London-based, hybrid role. You will own how we prove what works in media by setting KPIs, methods, and evidence standards, integrating brand tracking, econometrics, platform data and campaign results into a single trusted view.

You will design geo-experiments and incrementality tests end-to-end, then present clear recommendations. The role requires expertise in causal inference, econometrics and data interpretation for non-technical

Qualifications

• Experimental design and causal inference hands-on experience.
• Experience with econometrics, digital attribution and platform-level data.
• Proficiency in SQL and Python for data analysis and automation.
• Ability to translate dense analysis into actionable insights for non-technical stakeholders.
• Experience managing or mentoring analysts.

Responsibilities

• Set and own the measurement standards used across the business for evaluating channel and campaign effectiveness.
• Design and run incrementality tests (geo-experiments and similar).
• Act as the go-to expert for interpreting data and validating methodologies.
• Help shape how attribution and platform data read digital campaign performance.
• Grow the measurement team's capability and mentor junior analysts.

Skills

Experimental design

Causal inference

Econometrics

Stakeholder communication

Mentoring

Tools

SQL

Python

Job description

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.

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:

• 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.