You will:

• Develop innovative measurement and analytical approaches that build our understanding of performance and customers, embedding these learnings into the Category team’s day-to-day decision making
• Answer complex business questions through detailed quantitative analysis and experimentation, extracting meaningful and actionable insights
• Influence both strategic and tactical decision-making in our EU Leadership and Category Management teams through strong communication, and by proactively identifying opportunities for improvement
• Act as the main EU partner for our central Analytics & Data Engineering teams to implement reliable & scalable data pipelines that manage & transform the information we need
• Build the necessary models and tools to inform our pricing strategies, helping Category Managers maintain a competitive position versus our competitors while maximising margin opportunity
• Partner with our Customer Insights team, supporting them with their customer and competitor research projects and helping to embed learnings into the Category teams
• Proactively build and nurture a culture of data-driven decision making through coaching & supporting teams to increase their data literacy and confidence
• Support and mentor the other analysts in the team to help them develop their skills and deliver great results

You have:

• 5+ years of experience in analytics or data science - preferably in fields related to grocery, trading, marketing, or consumer product.
• A strong understanding of statistical analysis and experiment design
• A Bachelor’s Degree in Business, Mathematics, Statistics, or other quantitative discipline is beneficial, but not essential.
• Expert skills in SQL and databases, able to write structured and efficient queries on large data sets.
• Experience with dbt is a strong plus, along with Python or R and Github.
• Development experience with BI platforms such as Looker, Tableau, Power BI.
• Experience with Looker and LookML in particular is strongly preferred.
• A strong and confident communication style, with good knowledge of data visualization and storytelling.
• A high degree of curiosity, comfortable gathering and analyzing large amounts of data across a variety of business dimensions.
• The role will be UK based, with the candidate ideally based in/around London or able to visit on a regular basis.