Pivotal London
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MMM Expert Consultant
London | £50,000 – £60,000 + Benefits
4 days per week onsite
As part of the continued growth of our Client’s specialist analytics and consultancy team, they are looking for 2x MMM Expert Consultants to join an established function helping major consumer brands make smarter marketing investment decisions.
These are genuinely hands-on modelling roles, working with large and highly detailed retail and marketing datasets to understand what drives sales performance and where marketing investment can have the greatest impact.
The work combines Marketing Mix Modelling (MMM), econometrics, commercial understanding and strategic analytics, giving you the opportunity to get deep into the data while also translating complex analysis into recommendations that influence real business decisions.
This opportunity is ideal for an experienced MMM practitioner who enjoys building models, interrogating data and solving complex commercial problems – and who wants to continue developing as a hands-on modelling specialist.
The Opportunity
- Build and develop Marketing Mix Models for a major international retail client.
- Work with unusually rich and granular retail, media and marketing datasets across multiple international markets.
- Analyse the impact of media investment, pricing, promotions, seasonality and wider external factors on sales performance.
- Work on highly granular modelling, including store-level data across a large retail estate.
- Partner directly with experienced senior modelling and strategy specialists.
- Turn sophisticated econometric analysis into clear recommendations that influence marketing investment decisions.
- Broaden your experience across wider analytical projects, including portfolio, channel and market investment decisions.
- Contribute to the development of new analytical tools, modelling approaches and emerging uses of AI within analytics.
Responsibilities
Marketing Mix Modelling & Econometrics
- Design, build and run Marketing Mix Models and wider econometric models.
- Measure and forecast the impact of media, pricing, promotions, seasonality and external market factors on retail sales performance.
- Develop and refine model variables using econometric principles and commercial understanding.
- Apply regression analysis, model diagnostics, variable selection and multicollinearity management.
- Test different hypotheses and modelling approaches to understand the true drivers of commercial performance.
- Critically evaluate model outputs rather than accepting results at face value.
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Data & Analytical Rigour
- Prepare, transform and quality-check large and complex retail and marketing datasets.
- Integrate multiple data sources, including media, promotional, seasonal, competitive, economic and environmental factors.
- Work with highly granular datasets, potentially including daily and store-level sales information.
- Identify data quality issues and ensure reliable foundations are in place before modelling begins.
- Apply rigorous analytical judgement and structured sense-checking throughout the modelling process.
- Document modelling approaches, assumptions and decisions to ensure analysis is transparent, consistent and reproducible.
Commercial Insight & Problem Solving
- Interpret modelling outputs within the wider commercial context of the client’s business.
- Understand not only what the model is showing, but why it is showing it and whether the result makes commercial sense.
- Translate complex analysis into clear insights and actionable recommendations.
- Identify opportunities to improve marketing effectiveness and investment allocation.
- Approach analytical challenges as a problem solver, selecting the right technical approach for the commercial question.
- Challenge assumptions and use evidence to develop a clear analytical point of view.
Client & Team Collaboration
- Present modelling results, methodology and recommendations to client and internal stakeholders.
- Explain complex technical concepts clearly to both technical and non-technical audiences.
- Work closely with senior modelling specialists while taking ownership of your own analysis.
- Collaborate with strategy and client-facing colleagues to ensure analytical findings translate into meaningful business recommendations.
- Partner with teams across multiple markets and disciplines.
- Contribute to the continuous improvement of modelling methodologies, data quality and analytical effectiveness.
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Your Profile
- Strong, demonstrable experience personally building Marketing Mix Models (MMM) and/or econometric models within a commercial environment.
- Solid understanding of regression analysis, model diagnostics, variable selection and multicollinearity.
- Comfortable working directly with large, complex and highly granular datasets.
- Strong analytical judgement with the ability to question results and critically evaluate what a model is telling you.
- Excellent attention to detail and a rigorous approach to data quality.
- Experience combining multiple data sources and incorporating factors such as promotions, seasonality, competition and wider economic or market conditions.
- Ability to translate technical analysis into clear commercial insights and recommendations.
- Confident communicating and presenting analytical findings to non-technical stakeholders and clients.
- Experience can come from an agency, consultancy or client-side environment.
- Retail or consumer-sector experience would be advantageous, particularly within fashion or other store-led businesses.
- Experience with store-level modelling would be a major advantage.
- Python experience for data analysis, modelling or visualisation would be beneficial.
- Curious about new modelling techniques, analytical tools and the potential application of AI within analytics.
- Most importantly, you’ll be a thinker first – someone who wants to understand the problem, interrogate the data and apply the right analytical approach rather than simply running a predefined modelling process.
What’s On Offer
- £50,000 – £60,000 salary
- Opportunity to work on a flagship international retail account with exceptionally detailed datasets
- Highly competitive benefits
How to Apply
For a confidential discussion about this opportunity, please contact Georgina at Pivotal on 07944610585 or email georgina.oram@pivotallondon.co.uk
Pivotal is an equal opportunities employer. We encourage applications regardless of race, ethnicity, religion, gender, sexual orientation, disability, age, or any other protected status.
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