MMM Consultant

What you'll do

Pre-readout cell QA

Pressure-test every cell's findings before they're shared with Business Group leadership math, narrative, robustness. Stand a QA gate per readout: surface what's signal, flag what needs more work. Produce per-cell QA notes ahead of every BG readout.

Analytics demand intake

When BGs, markets or agencies come back with can you also look at, you're the one who turns that into a scoped delivery brief. Prioritize the follow-on pipeline with the delivery team and the client's Insights team – by value, by effort. Maintain a weekly prioritized backlog with effort estimates.

In-market decision cadence

Run a standing forum per market with the client's Media, Insights and agency leads. Drive decisions, not status. Surface blockers and broker resolution in-session. Maintain a per-market decision log owned by you.

Cross-market synthesis

Pattern-find across the cells in your region and across the program with your peer Partners. Codify learnings into a live POV repository accessible to BGs, agencies and the delivery team. Produce a quarterly cross-market synthesis pack.

What we're looking for

Must-have

• 7+ years in marketing analytics, marketing effectiveness or media measurement
• Direct MMM experience – you understand model design, can read model outputs, and can spot when something is off
• Track record of engaging brand directors, regional media leads and agency heads as a peer
• Demonstrable ability to translate technical analytics into business action
• Comfort holding scope under pressure when stakeholders ask for more than the engagement covers

Strong plus

• Experience with global CPG / FMCG brands (P&G, L'Oral, Reckitt, Nestl, etc.)
• Working knowledge of one or more major media agencies (WPP / GroupM, Publicis, Omnicom, IPG, Dentsu)
• Cross-market exposure
• Familiarity with modern MMM platforms (Meridian, Robyn, custom Bayesian frameworks)
• Consulting background

You'll thrive here if you

• Are comfortable being the sharpest analytical voice in a business meeting
• Don't need to build the model to interpret it
• Believe insight comes from synthesis, not just analysis
• Are happy to operate at program speed – multiple cells, multiple markets, every week