At a Glance
- Tasks: Generate insights and reports for the Consumer tribe, translating data into actionable strategies.
- Company: Join a global fintech leader dedicated to empowering small businesses.
- Benefits: Enjoy 28 days paid leave, private health insurance, and a stock option programme.
- Other info: Work in a diverse, inclusive environment with excellent career growth opportunities.
- Why this job: Make a real impact by shaping product decisions with your analytical skills.
- Qualifications: Strong SQL skills and experience with BI tools like Tableau are essential.
The predicted salary is between 40000 - 44000 £ 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.
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.
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.
Product Data Analyst employer: Aplaro Ltd
Baringa is an exceptional employer that fosters a collaborative and innovative work culture, particularly in the vibrant Energy & Infrastructure sector. With a strong focus on employee development, you will have access to numerous growth opportunities while working alongside industry experts on impactful projects that shape the future of energy and utilities. Located in a dynamic environment, Baringa offers a unique chance to engage with diverse clients and contribute to meaningful change in the renewable infrastructure landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Product Data Analyst
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Aplaro Ltd.
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We think you need these skills to ace Product Data Analyst
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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Craft a Tailored Cover Letter:For a full-time role at Aplaro Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Aplaro Ltd. 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 Aplaro Ltd
✨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!
✨Showcase Your Projects
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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Aplaro Ltd!
✨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.
