Media Measurement Lead - Growth Analytics & Experiments

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

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