At a Glance
- Tasks: Analyse product data to drive insights and influence key business decisions.
- Company: Join a leading fintech company transforming how small businesses get paid.
- Benefits: Competitive salary, generous leave, health insurance, and stock options.
- Other info: Work in a vibrant, diverse team at our central London office.
- Why this job: Make a real impact by shaping product strategies with your analytical skills.
- Qualifications: Strong SQL skills and experience in product analytics required.
The predicted salary is between 63000 - 77000 £ per year.
Описание
Sum Up is best known for helping small businesses get paid — our Consumer tribe builds the other half of that story.
We make Sum Up Consumer, the wallet app that lets everyday consumers pay Sum Up merchants with a tap, send money to friends, track their spending and earn loyalty rewards along the way.
As we grow Sum Up Consumer across new markets and features, we need sharp, reliable insight into how people discover, adopt and use the product — and how that behaviour translates If you want to be the person leadership turns to for an honest read of the business, and to see your analysis change real product and commercial decisions, this role is for you.
- Задачи
- Own the Sum Up Consumer KPI framework end to end — defining which metrics matter, how they're measured and how they connect customer behaviour to commercial outcomes.
- Evaluate the quality of our growth: CAC, source attribution, channel performance and downstream customer value, separating headline growth from sustainable growth.
- Work with Risk and Anti-Fraud so fraud, abuse and economic loss are built into how we judge customers, channels and markets.
- Diagnose where customers drop out between acquisition and activation, and which behaviours drive repeat usage, retention and lifetime value.
- Design and analyse A/B tests and product experiments, assessing both customer and commercial impact.
- Help Product Managers size opportunities and judge whether shipped features delivered the outcomes they promised.
- Act as an independent analytical partner to Consumer leadership and to Product, Growth, Finance and Risk — proactively surfacing trends, risks and opportunities rather than waiting for requests.
- Challenge assumptions, metric definitions and interpretations constructively when the evidence points elsewhere.
- Build trusted reporting and help teams self-serve routine questions, so your time goes on the problems that matter most.
- Use AI and LLM-assisted techniques to speed up analysis, customer understanding and insight generation.
- Требования
- You form your own view of why something happened and what the business should do about it — not just report what happened.
You've influenced senior stakeholders with data, including changing a decision or overturning a long-held assumption.
You understand the economics of a digital consumer product: acquisition, activation, retention, churn, customer lifetime value and unit economics.
You're fluent in product analytics — funnel, cohort, segmentation and behavioural analysis.
You have strong SQL and are comfortable querying, analysing and validating data in a cloud data warehouse such as Snowflake, Big Query or similar.
You use a visualisation tool such as Tableau, Looker or Power BI to build reporting that stakeholders actually rely on.
You turn ambiguous questions into structured analysis and tell a clear, concise story to technical and non technical audiences alike.
You prioritise by business impact and are comfortable managing several stakeholders and workstreams at once.
- Будет плюсом: Experience in consumer fintech, banking, payments or financial services; Growth or marketing analytics experience, including attribution, CAC and channel performance (e. g.
Apps Flyer, Google Analytics); Experience modelling customer lifetime value or unit economics; Experience partnering with fraud, abuse or risk teams; Depth in experimentation design and the statistics behind it; Familiarity with dbt or experience working alongside Analytics Engineers; Python or R for advanced analysis
- Условия
- Competitive salary Office-first setup Opportunity to work with a truly global, multicultural team from our central London Bridge location, wrapped in historic charm and modern flair.
- 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 Sum Up's future success
- Generous time off: enjoy 28 days of paid leave, plus bank holidays and special leaves
- A dedicated annual L&D budget for attending conferences and/or advancing your career through further education
- Health matters: private health insurance, including optical and dental
- Life made easier: salary-sacrifice commuter benefits via Gogeta
- Financial security: retirement scheme (Sum Up matches 7% when you contribute 5%)
- Peace of mind: life insurance from Met Life for 2× your salary
- Break4me: 1-month sabbatical after 3 years of service
- Referral Bonus: earn additional rewards by referring talented individuals to join the Sum Up team
- #J-18808-Ljbffr
Product data analyst in fintech in London employer: SumUp
At SumUp, we pride ourselves on being an exceptional employer, offering a vibrant and inclusive work culture that champions diversity and fosters personal and professional growth. As an Engineering Manager, you'll lead a high-performing team in a home-based environment, enjoying generous benefits such as 28 days of paid leave, health cover, and a stake in the company's future success through our VSOP program. Join us to make a meaningful impact while collaborating with passionate individuals dedicated to empowering local communities and small businesses.
StudySmarter Expert Advice🤫
We think this is how you could land Product data analyst in fintech in London
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We think you need these skills to ace Product data analyst in fintech in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at SumUp. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at SumUp
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
