At a Glance
- Tasks: Generate insights and reports for the Consumer tribe using data analysis tools.
- Company: Join a global fintech company with a vibrant, inclusive culture.
- Benefits: Enjoy 28 days paid leave, health insurance, and a stock option programme.
- Other info: Work in a dynamic London office with excellent career growth opportunities.
- Why this job: Make a real impact by shaping product decisions through data-driven insights.
- Qualifications: Strong SQL skills and experience with BI tools like Tableau.
The predicted salary is between 40000 - 50000 £ per year.
The Consumer tribe is building the financial products that small businesses and their customers rely on — from credit and BNPL to everyday banking services. As the tribe scales, so does the need for sharp, reliable insight. That's where you come in.
We're looking for a Data Analyst to become the dedicated analytical partner for the Consumer tribe — working alongside a Senior Analytics Engineer to build the data foundation that helps Product, Finance, and Risk teams make better decisions, faster. This is a new role, which means you'll have real ownership from day one: shaping how we measure performance, understand our customers, and act on what the data tells us.
If you're motivated by meaningful analytical work, enjoy translating complexity into clarity, and want to see your insights directly influence product and business decisions — this role is for you.
What you'll do
- Own insight generation and reporting for the Consumer tribe — translating business questions from Product, Finance, and Risk into clear analyses and dashboards using Snowflake and Tableau.
- Define, monitor, and communicate core Consumer KPIs, covering credit performance, customer behaviour, activation, and retention.
- Act as the primary data partner for cross-functional teams — proactively surfacing trends, anomalies, and opportunities before they're asked for.
- Support A/B test design, analysis, and communication of results to help the tribe experiment with confidence.
- Collaborate with the Analytics Engineer to ensure data models meet analytical needs and help stakeholders access and trust data independently.
You'll be great for this role if…
- Strong SQL skills with hands‑on experience querying, analysing, and validating data in a cloud data warehouse environment (Snowflake, BigQuery, or similar).
- Experience building and maintaining dashboards in BI tools such as Tableau or Looker, with a track record of delivering outputs that stakeholders actually use.
- Ability to translate ambiguous business questions into structured analytical frameworks, and communicate findings clearly to both technical and non-technical audiences.
- Comfortable managing multiple workstreams across different stakeholder groups, with strong prioritisation and a proactive communication style.
- Curious, self‑driven, and quality‑focused — someone who asks the right questions, not just the ones they're given.
This role does not support Visa sponsorship.
Why you should join SumUp
- Opportunity to work with a truly global, multicultural team from our central Covent Garden location, wrapped in historic charm and modern flair. 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.
- 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 (SumUp matches 7% when you contribute 5%).
- Peace of mind: life insurance from MetLife 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 SumUp team.
SumUp is proud to be an Equal Employment Opportunity employer, actively seeking and embracing diversity in our workforce. We don't make hiring or employment decisions based on race, colour, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age or any other basis protected by applicable laws or prohibited by company policy. Our commitment extends beyond recruitment to creating a safe and respectful workplace where harassment of any form is strictly prohibited.
Product Data Analyst in London employer: SumUp
At SumUp, we pride ourselves on being an exceptional employer, offering a vibrant work culture in the heart of Covent Garden, London. Our commitment to diversity and inclusion fosters a supportive environment where every voice is valued, while generous benefits such as 28 days of paid leave, private health insurance, and a dedicated learning budget empower our employees to thrive both personally and professionally. Join us to make a meaningful impact as a Product Data Analyst, where your insights will directly influence key business decisions in a dynamic, global team.
StudySmarter Expert Advice🤫
We think this is how you could land Product Data Analyst in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Product Data Analyst 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.
