Lead Data Analyst

You will: • Advanced Analytics: Develop innovative measurement and analytical approaches that build an understanding of performance and customers, embedding these learnings into day-to-day decision-making across the organisation. • Quantitative Analysis: Answer complex business questions through detailed quantitative analysis and experimentation, extracting meaningful and actionable insights. • Strategic Influence: Influence both strategic and tactical decision-making among leadership and cross-functional teams through strong communication and by proactively identifying opportunities for improvement. • Data Infrastructure: Act as the primary partner for central Analytics & Data Engineering teams to implement reliable and scalable data pipelines that manage and transform essential information. • Commercial Modeling: Build the necessary models and tools to inform pricing strategies, helping stakeholders maintain a competitive position versus competitors while maximizing margin opportunity. • Insight Integration: Partner with Customer Insights teams, supporting customer and competitor research projects and helping to embed those learnings into operational workflows. • Data Culture: Proactively build and nurture a culture of data-driven decision-making by coaching and supporting teams to increase their data literacy and confidence. • Mentorship: Support and mentor other analysts in the team to help them develop their skills and deliver high-quality 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 visualisation and storytelling. • A high degree of curiosity, comfortable gathering and analysing large amounts of data across a variety of business dimensions. • The role will be London-based, with the candidate ideally based in/around London or able to come to the office on a regular basis. Benefits: • We offer comprehensive medical, dental, vision and Mental health support to all eligible employees. • Company RSUs (Restricted Stock Units). • Gopuff employee rewards (including some great brand partnership deals). • Annual performance appraisal and bonus.