Data Analyst, Category Development

Gopuff; London; On-site; GBP 41,000 - 71,000; Full time

Job summary

Gopuff is seeking a Lead Data Analyst to enhance category and supply chain performance through data analysis. The role involves collaborating with cross-functional teams to drive strategic decisions and improve operational efficiency. Ideal candidates will have strong SQL and Python skills, along with a passion for data-driven insights. Join us to shape the future of quick commerce and make a significant impact in a fast-paced environment.

Benefits

Company RSU’s (Company Shares)

Private Medical + Dental cover

Annual performance appraisal and bonus

Employee Discount + FAM membership

Career growth opportunities

Qualifications

• 3-5 years experience in analytics or data science.
• Strong understanding of statistical analysis and experiment design.

Responsibilities

• Develop innovative measurement and analytical approaches.
• Answer complex business questions through detailed quantitative analysis.
• Influence decision-making in EU Leadership and Category Management teams.

Skills

SQL

Python

Statistical analysis

Data visualization

Education

Bachelor's degree

Tools

Looker

Tableau

Power BI

dbt

Job description

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At Gopuff, we’re not just delivering convenience—we’re redefining how the world shops. Since pioneering instant needs in 2013, we’ve empowered millions of customers across the U.S. and U.K. to reclaim their time through seamless, fast, and reliable delivery. Behind this transformative journey is our tech-first mindset, relentless obsession with customer experience and operational excellence.

We’re looking for an exceptional Lead Data Analyst to shape the future of quick commerce.

This is not just a job—it’s a mission. As a Lead Data Analyst in the Category Development team, you will support the rapid growth of our business by analysing our huge datasets to uncover insights that drive improvements across our category & supply chain performance.

You’ll partner with cross-functional teams, challenge the status quo, and make high-impact recommendations. With your mastery of SQL, Python and advanced analytics, you won’t just support decisions—you’ll lead them.

We believe great work happens through collaboration, not competition. You foster a culture of curiosity, respect, and shared success, ensuring data is a tool for empowerment, not gatekeeping. No room for arrogance—just a commitment to helping others and making an impact together.

If you’re a high-performer who thrives in fast-paced, high-impact environments, this is your chance to build, innovate, and leave a lasting mark on one of the most disruptive industries in the world.

Are you ready to shape the future of commerce? Let’s go.

You Will:

• Develop innovative measurement and analytical approaches that build our understanding of performance and customers, embedding these learnings into the Category & In-Stock 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.
• 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.
• Provide clear insight into the value and success of different buying policies we have built into our Stock Ordering Tool to ensure we are hitting the target levels of Waste and Availability.
• Partner with our Customer Insights team, supporting them with their customer and competitor research projects and helping to embed learnings into the Category teams.
• Partner with our MFC Operations team to ensure that inventory compliance reporting & capacity tooling are providing In-Stock team with correct insights they can use to adjust their buying decisions.
• Proactively build and nurture a culture of data-driven decision making through coaching & supporting teams to increase their data literacy and confidence.
  
  

You Have:

• 3-5 years of experience in analytics or data science - preferably in fields related to grocery, trading, supply chain.
• A strong understanding of statistical analysis and experiment design.
• Expert skills in SQL / Python, able to write structured and efficient queries on large data sets.
• Experience with dbt is a strong plus
• 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 visualization and storytelling.
• A high degree of curiosity, comfortable gathering and analyzing large amounts of data across a variety of business dimensions.
  
  

Benefits:

• Company RSU’s (Company Shares)
• Private Medical + Dental cover
• Annual performance appraisal and bonus
• Employee Discount + FAM membership
• Career growth opportunities
  
  

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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Marketing and Sales

• Industries

  Software Development

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