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SumUp

Senior Product Data Analyst- Consumer Growth

SumUp is hiring a Senior Product Data Analyst- Consumer Growth in London, United Kingdom. Level rates it ; you can apply on SumUp.

Level's read on this job

  • On Level's scale, this data analyst role is Uses AI ●●○○: an ordinary role that requires AI tools.
  • Tools and skills the posting cites include Python, SQL and A B Testing.
  • Level classifies it as a senior role.
  • Level lists 356 other open roles at SumUp.

AI in this role

Lead product data analysis for consumer growth, leveraging analytics and AI-assisted tools to shape commercial decisions.

pythonsqla-b-testingllms
data-analysisgrowth-metricskpi-frameworkproduct-analytics

SumUp | Senior Data Analyst - Consumer Growth | London, United Kingdom

Competitive salary · Office-first

This role does not support Visa sponsorship and candidates must have the right to work in the UK.

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 with 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 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. 

What you'll do 

Shape commercial decisions 

  • Own the SumUp 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. 

Drive product decisions 

  • 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. 

Influence with data 

  • 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. 

You'll be great for this role if… 

  • 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, BigQuery 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. 

Bonus points if you have: 

  • Experience in consumer fintech, banking, payments or financial services 
  • Growth or marketing analytics experience, including attribution, CAC and channel performance (e.g. AppsFlyer, 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

Why you should join SumUp

🌎 Opportunity to work with a truly global, multicultural team from our central London Bridge 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

About SumUp

Be empowered to do more that matters.

At SumUp, we're on a mission to empower small businesses across the globe by providing simple and affordable tools that allow them to thrive. Today, over 4 million businesses in 37 markets rely on SumUp as their financial partner to manage payments, finance and customer relationships.

Our commitment to small businesses is reflected in our diverse team of over 3,000 SumUppers from over 90 nationalities, united by global collaboration and an innovative mindset. Our core values lay the foundation for who we are and what we stand for, shaping our work culture and driving our success. We foster inclusivity and a continuous learning culture, providing a safe space for personal and professional growth. Our differences make us unique and strong as we strive to create an environment where everyone belongs and feels supported, no matter how they identify.

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. Discover more about our culture and opportunities on our careers website, and follow our journey on LinkedIn, Instagram, and TikTok.

Job Application Tip

We recognise that candidates feel they need to meet 100% of the job criteria in order to apply for a job. Please note that this is only a guide. If you don’t tick every box, it’s ok too because it means you have room to learn and develop your career at SumUp.

How we rate this

Senior Product Data Analyst- Consumer Growth at SumUp rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data AnalysisGrowth MetricsKpi FrameworkProduct AnalyticsPythonSQLA B TestingLLMs

Also common in data analyst jobs at this level

Pay

Typical data analyst job
$112k

This posting doesn't list pay. Use the typical data analyst figure when pay comes up. See data analyst jobs

Questions you could be asked

  1. Tell me about a project where data analysis was part of your work. What did you do?
  2. Tell me about a project where growth metrics was part of your work. What did you do?
  3. Tell me about a project where kpi framework was part of your work. What did you do?
  4. Tell me about a project where product analytics was part of your work. What did you do?
  5. Walk me through how you've used Python in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Data Analysis, Growth Metrics, Kpi Framework, Product Analytics, and Python. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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