Lead Data Analyst, Category Development (London)

You Will:

• Develop innovative measurement and analytical approaches that build our understanding of performance and customers, embedding these learnings into the Category & In-Stock 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.
• 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.
• Provide clear insight into the value and success of different buying policies we have built into our Stock Ordering Tool to ensure we are hitting the target levels of Waste and Availability.
• Partner with our Customer Insights team, supporting them with their customer and competitor research projects and helping to embed learnings into the Category teams.
• Partner with our MFC Operations team to ensure that inventory compliance reporting & capacity tooling are providing In-Stock team with correct insights they can use to adjust their buying decisions.
• Proactively build and nurture a culture of data-driven decision making through coaching & supporting teams to increase their data literacy and confidence.

You Have:

• 5+ years of experience in analytics or data science - preferably in fields related to grocery, trading, supply chain.
• 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.

Benefits:

• Company RSU’s (Company Shares)
• Private Medical + Dental cover
• Annual performance appraisal and bonus
• Employee Discount + FAM membership
• Career growth opportunities