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Full-Time Data & Engineering
Lead Data Analyst
Gopuff
Location: London, England
Department: Data & Engineering
Job Type: Full-Time
Remote: No
Posted: August 7, 2026
Description
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:
- 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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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.


Get help with your application
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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.
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