Data Analyst, Category Development
Data Analyst, Category Development

Data Analyst, Category Development

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Analyze large datasets to drive improvements in category and supply chain performance.
  • Company: Gopuff is revolutionizing shopping with fast, reliable delivery since 2013.
  • Benefits: Enjoy company shares, private medical coverage, performance bonuses, and employee discounts.
  • Why this job: Join a mission-driven team that values collaboration and empowers data-driven decision making.
  • Qualifications: 3-5 years in analytics, strong SQL/Python skills, and experience with BI tools required.
  • Other info: Gopuff promotes diversity and encourages all qualified individuals to apply.

The predicted salary is between 36000 - 60000 £ per year.

Get AI-powered advice on this job and more exclusive features. 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 Mid-Senior level Employment type Full-time Job function Marketing and Sales Software Development #J-18808-Ljbffr

Data Analyst, Category Development employer: Gopuff

At Gopuff, we are committed to fostering a collaborative and inclusive work environment where innovation thrives. As a Data Analyst in our Category Development team, you will not only have access to cutting-edge tools and technologies but also enjoy robust career growth opportunities, competitive benefits including company shares and private medical coverage, and a culture that values curiosity and shared success. Join us in redefining convenience and making a meaningful impact in the fast-paced world of quick commerce.
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Contact Detail:

Gopuff Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Analyst, Category Development

✨Tip Number 1

Familiarize yourself with Gopuff's mission and values. Understanding their tech-first mindset and commitment to customer experience will help you align your insights and recommendations with their goals during interviews.

✨Tip Number 2

Brush up on your SQL and Python skills, focusing on writing efficient queries and handling large datasets. Being able to demonstrate your technical expertise in these areas will be crucial in showcasing your fit for the role.

✨Tip Number 3

Prepare to discuss specific examples of how you've used data analysis to influence decision-making in previous roles. Highlighting your ability to extract actionable insights from complex datasets will resonate well with the hiring team.

✨Tip Number 4

Showcase your communication skills by practicing how to present data-driven insights clearly and effectively. Since the role involves influencing cross-functional teams, being able to tell a compelling story with data is essential.

We think you need these skills to ace Data Analyst, Category Development

SQL
Python
Statistical Analysis
Experiment Design
Data Visualization
Looker
LookML
Tableau
Power BI
Data Storytelling
Analytical Thinking
Problem-Solving Skills
Cross-Functional Collaboration
Curiosity
Data Literacy

Some tips for your application 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Lead Data Analyst position at Gopuff. Tailor your application to highlight how your skills in SQL, Python, and analytics align with their needs.

Highlight Relevant Experience: In your CV and cover letter, emphasize your 3-5 years of experience in analytics or data science, particularly in grocery, trading, or supply chain. Provide specific examples of how you've used data to drive decision-making and improve performance.

Showcase Communication Skills: Gopuff values strong communication and storytelling abilities. Make sure to include examples of how you've effectively communicated complex data insights to non-technical stakeholders in your application.

Demonstrate Curiosity and Initiative: Convey your curiosity and proactive approach to data analysis in your application. Discuss instances where you've taken the initiative to explore data, identify opportunities for improvement, and implement solutions that had a significant impact.

How to prepare for a job interview at Gopuff

✨Showcase Your Analytical Skills

Be prepared to discuss your experience with SQL and Python in detail. Bring examples of how you've used these tools to analyze large datasets and derive actionable insights, especially in contexts related to grocery or supply chain.

✨Communicate Clearly and Confidently

Since strong communication is key for this role, practice explaining complex data findings in a simple and engaging way. Use storytelling techniques to illustrate how your insights have influenced decision-making in past roles.

✨Demonstrate Curiosity and Problem-Solving

Prepare to discuss specific instances where you identified opportunities for improvement through data analysis. Show your enthusiasm for tackling complex business questions and how you approach experimentation and statistical analysis.

✨Emphasize Collaboration

Gopuff values a collaborative culture, so be ready to share examples of how you've worked with cross-functional teams. Highlight your ability to foster a data-driven decision-making environment and support others in increasing their data literacy.

Data Analyst, Category Development
Gopuff
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