Lead Data Analyst

At Gopuff, we don’t just deliver products; we deliver efficiency.

Since 2013, we’ve pioneered the "Instant Needs" category, turning what used to be a 45-minute errand into a 15-minute solution. We are a tech-first, operationally obsessed engine that is fundamentally changing how the world shops.

Now, we’re looking for a Lead Data Analyst to join the front lines of our Data team.

We value drive over pedigree and ego-less collaboration over competition. At Gopuff, data is for empowerment, not gatekeeping. We have zero room for arrogance, but infinite space for curiosity, grit, and a "no job too small" mindset.

If you’re a high-performer who feels stifled by slow-moving corporate machines, this role is for you. You thrive in the "grey area" of ambiguity and are energised by the prospect of leaving a lasting mark on a disruptive industry.

You will

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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.

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Quantitative Analysis: Answer complex business questions through detailed quantitative analysis and experimentation, extracting meaningful and actionable insights.

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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.

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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.

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Commercial Modeling: Build the necessary models and tools to inform pricing strategies, helping stakeholders maintain a competitive position versus competitors while maximizing margin opportunity.

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Insight Integration: Partner with Customer Insights teams, supporting customer and competitor research projects and helping to embed those learnings into operational workflows.

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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.

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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.