Lead Data Analyst

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.

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.