Head of Data Analytics

"A rare, high-leverage role at the intersection of pricing, analytics, and enterprise transformation."

There are roles that grow your skills. There are roles that grow your influence. And then there are roles that reshape the trajectory of an entire organisation. Our B2C Consumer client is entering that moment and have a fantastic opportunity available for a Head of Analytics | Data Science to join them and lead them on their global pricing journey.

What's the role?

"After years of expansion through acquisition, we are now building the analytical foundations that will define our next chapter: clarity, consistency, transparency, and pricing sophistication at true global scale."

To set up for today and for the future, we have an opportunity available for some to lead us on our pricing analytics journey. Reporting to the VP Analytics & Data, you’ll sit inches from the CCO, shape conversations with country leaders and finance leaders, and set the rhythm for how pricing evolves over the next 3–5 years.

Day-to-day you will:

• Engineer the central elasticity capability for the group, robust, scalable, and deployed across our key international markets.
• Build regression frameworks, dynamic pricing logic, and headroom analyses that guide both local and group-level decisions.
• Fuse competitor intelligence, transaction data, and operational constraints into actionable price pathways.
• Translate complex modelling into clear, compelling narratives for the CCO, board members, and country leaders.
• Create the pricing architecture that future analysts and markets will build on — your work becomes the standard.

We're looking for an experienced Pricing scientist | data leader who thrives on ownership, and you'll be looking for a role where the technical complexity is real, the commercial stakes are high, and the impact is enterprise-wide, then this is the moment to step in.

You’ll bring a strong grasp of price–volume–mix relationships, competitive positioning, and margin analysis, along with the judgment to balance rigorous modelling with real-world commercial decision-making. In addition, we’re looking for someone who can demonstrate:

• Hands-on expertise in Python (pandas, statsmodels, scikit-learn) and SQL, with the ability to manipulate, analyse, and model very large datasets.
• Solid experience applying a range of regression and econometric methods, from OLS and elasticity modelling to fixed/random effects and time-series approaches and validating model performance.
• A track record of developing elasticity, demand, or pricing models in multi-site, B2C, retail, healthcare, or similarly complex environments.
• Proficiency with Power BI, Excel, and modern data visualisation tools to turn analytical outputs into clear, actionable insights.

Apply today with an up to date CV/Profile and the team will be in touch to discuss more.