Product Data Analyst at Sumup
- Company: Sumup
- Location: London
- Employment type: full-time
- Posted: 2026-08-15
About the team
SumUp is best known for helping small businesses get paid — our Consumer tribe builds the other half of that story. We make SumUp Consumer, the wallet app that lets everyday consumers pay SumUp merchants on a tap, send money to friends, track their spending, and earn loyalty rewards along the way. As we grow SumUp Consumer across new markets and features, we need sharp, reliable insight into how people actually use it. As the tribe scales, so does the need for sharp, reliable insight into how people actually use what we build.
We’re looking for a Product Analyst to join the Consumer tribe and become the analytical partner for SumUp Consumer — working closely with Product Managers, Designers, and Engineers, and alongside our Analytics Engineering team, to understand customer behaviour, shape product strategy, and measure what matters.
If you’re motivated by meaningful analytical work, enjoy translating complexity into clarity, and want to see your insights directly influence product decisions — this role is for you.
What you’ll do
- Analyse customer behaviour and product performance for SumUp Consumer using funnel analysis, cohort analysis, segmentation, and behavioural analytics to identify opportunities and drive improvements
- Support Product Managers in understanding customer journeys, engagement, conversion, and retention — helping to shape product strategy and priorities
- Conduct exploratory analysis to answer product and business questions, translating complex data into clear, actionable recommendations
- Define, monitor, and communicate core SumUp Consumer KPIs — covering activation, engagement, and retention — and evaluate the impact of product changes for stakeholders
- Design, execute, and analyse A/B tests and product experiments, helping to embed a culture of experimentation across the Consumer tribe
- Build and maintain dashboards and reporting, proactively surfacing trends, anomalies, and growth opportunities before they’re asked for
- Partner with Analytics Engineering to ensure KPI definitions, business logic, and product instrumentation are accurate, scalable, and trusted
- Bring a curious eye to AI and machine learning techniques, including LLM-assisted analysis, to speed up insight generation and product measurement
- Collaborate closely with Product Managers, Designers, Engineers, and Data teams to ground decisions in robust analysis and customer insight
You’ll be great for this role if…
- You have strong SQL skills and are comfortable querying, analysing, and validating data in a cloud data warehouse (Snowflake, BigQuery, or similar)
- You have hands-on experience with product analytics techniques such as funnel analysis, cohort analysis, and segmentation
- You’ve worked on A/B tests or product experiments, with a solid grounding in the statistics behind them
- You’re proficient in a visualisation tool such as Looker, Tableau, or Power BI, with a track record of building dashboards that stakeholders actually use
- You can translate ambiguous business questions into structured analysis, and explain findings clearly to technical and non-technical audiences alike
- You’re curious about how AI and emerging techniques can improve product measurement, experimentation, and customer understanding
- You’re comfortable managing multiple workstreams and stakeholders, with strong prioritisation and a proactive communication style
Why you should join SumUp
🌎 Opportunity to work in a truly global, multicultural team from our open, vibrant Cologne office, located in the heart of the city. This involves an office-first setup
🌈 Commitment to Diversity and Inclusion: be part of a workplace that values and promotes diversity, fostering an inclusive environment where everyone's perspectives are respected and embraced
🚀 Enrolment onto our Virtual Stock Option programme: you will own a stake in SumUp's future success
📚 A dedicated annual L&D budget of €2000 for your individual development, which can be used to attend conferences and/or advance your career through further education
🏖 Generous time off: enjoy 28 days of paid leave plus public holidays and special leave days
🚗 Commute made easy: subsidised mobility options like discounted transport tickets or bike leasing
💪 Stay active: acce
Apply for this Product Data Analyst role