Senior Data Analyst, EU Category Management

Gopuff is the go-to solution for immediate everyday needs, fulfilling customer orders of cleaning and home products to food and drinks, and in some markets, alcohol - in just minutes.
To make our model work, data needs to be at the heart of every decision we make. As such, we are looking for a talented Data Analyst to join our EU Category Development team to develop insights across all aspects of our commercial performance – be it building range assortments tailored to local customer needs, identifying new and high-performing products, managing price & promotions, and much more.
You will support the rapid growth of our business by analyzing our huge datasets to uncover insights that drive improvements across our category performance. You will have the opportunity to develop innovative approaches to the complex problems we need to solve, and will work alongside other EU Analysts and our centralized Engineering teams to play a role in our wider data community.

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 visualization and storytelling.
• A high degree of curiosity, comfortable gathering and analyzing large amounts of data across a variety of business dimensions.
• The role will be UK based, with the candidate ideally based in/around London or able to visit on a regular basis.

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.