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:
- 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 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.
Company Summary & EEOC Statement:
At Gopuff, we know that life can be unpredictable. Sometimes you forget the milk at the store, run out of pet food for Fido, or just really need ice cream at 11 pm. We get it—stuff happens. But that’s where we come in, delivering all your wants and needs in just minutes.
And now, we’re assembling a team of motivated people to help us drive forward that vision to bring a new age of convenience and predictability to an unpredictable world.
Like what you’re hearing? Then join us on Team Blue.
Gopuff is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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