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For Companies At a Glance
- Tasks: Use data to solve real business problems and improve customer outcomes.
- Company: Join Zopa, a pioneering bank redefining finance with a people-first approach.
- Benefits: Flexible working, competitive salary, and the chance to work abroad for up to 120 days a year.
- Why this job: Make a real impact in a dynamic environment while developing your analytical skills.
- Qualifications: Strong SQL skills, experience in BI analytics, and a passion for problem-solving.
- Other info: Be part of a diverse team that values collaboration and innovation.
The predicted salary is between 40000 - 50000 £ per year.
Our Story
Hello there. We’re Zopa. We started our journey back in 2005, building the first ever peer‑to‑peer lending company. Fast forward to 2020 and we launched Zopa Bank. A bank that listens to what our customers don’t like about finance and does the opposite. We’re redefining what it feels like to work in finance. Our vision for a new era of banking puts people front and centre — we’ve built a business that empowers everyone to aim high, every day, to move finance forward. Find out more about our fantastic offerings at Zopa.com! We’re incredibly proud of our achievements and none of it would be possible without the amazing team here. It’s not just industry awards we’re winning, we’ve also been named in the top three UK’s Most Loved Workplaces. If you embrace unconventional challenges, are unafraid to think differently and are driven to make an outsized impact, you’ll thrive here at Zopa, so join us, and make it count.
We are hiring a Data Analyst (BI & Operations) to join our Collections & Recoveries team. These Level 10 roles are ideal for technically strong, curious analysts who enjoy using data and automation to solve real business problems. From improving access to insight, to reducing manual processes, to strengthening operational controls, your work will directly influence how we scale and operate as a bank. We are recruiting through a single pipeline and will align successful candidates to the team that best fits their skills and the needs of the business.
Collection & Recoveries (C&R) Analytics enables better outcomes for customers in financial difficulty through high‑quality MI, process efficiency and insight‑driven performance analytics. This role includes a strong BI and reporting focus, including building scalable datasets, defining metrics and delivering self‑serve dashboards that support decision making across the business. While these roles differ in day‑to‑day focus, they share a strong technical core and a common goal: improving decision making, increasing efficiency and building scalable, data‑driven solutions.
A day in the life...
- You will work closely with stakeholders across Operations to understand business problems and deliver analytical solutions.
- Use SQL to explore data, build structured datasets and deliver repeatable analysis.
- Build and maintain dashboards in tools such as Tableau or similar.
- Deliver recurring MI and reporting packs for stakeholders.
- Identify opportunities to automate manual reporting processes.
- Support performance monitoring across operational or risk domains.
- Translate business requirements into clear, well‑documented metrics.
- Contribute to improving data quality and reporting standards.
About you...
- Experience analysing credit or operational performance metrics.
- Interest in improving efficiency and delivering better outcomes for customers in financial difficulty.
- Eager to get stuck into a large domain and solve varied problems spanning BI, analytics, process improvement and stakeholder support across Operations.
- Experience in a BI Analytics role.
- Strong SQL skills and confidence working with large datasets. Python is a plus.
- Experience with dbt or data modelling (such as building robust transformations and maintaining clear documentation).
- Experience with BI tools such as Tableau, Looker or Power BI.
- Experience building and maintaining data pipelines (e.g. transforming raw or semi‑structured data into reliable, production‑ready datasets).
- Interest in building reusable datasets and scalable reporting.
- Strong analytical thinking and problem‑solving ability.
- High attention to detail and focus on data accuracy.
- Strong communication skills, and able to explain insights to non‑technical stakeholders.
- Organised and comfortable managing multiple priorities.
- Curious and motivated to improve processes and outcomes.
At Zopa we value flexible ways of working. We value face‑to‑face collaboration and a good work‑life balance. This hybrid role requires you to come to our London office 2-3 days a week. You’ll also have the option of working from abroad for up to 120 days a year! But no matter where you are, we’ll make sure you’ve got everything you need to thrive, both in your work and home life, from day one.
Diversity Statement
Zopa is proud to offer a workplace free from discrimination. Diversity of experience, perspectives, and backgrounds leads to better products for our customers and a unique company culture for our people. We are made up of nearly 50 nationalities, have a DE&I forum made up of Zopians wanting to make a difference and we are proud of our culture where everyone can bring their full self to work. Our approach to DE&I is reflected in our hiring process so please let us know if you require any reasonable adjustments.
Data Analyst (BI & Operations) employer: Zopa
Contact Detail:
Zopa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (BI & Operations)
✨Tip Number 1
Network like a pro! Reach out to current employees at Zopa on LinkedIn, and don’t be shy about asking for a chat. They can give you the inside scoop on what it’s really like to work there and might even put in a good word for you!
✨Tip Number 2
Prepare for your interview by diving deep into Zopa's mission and values. Show us how your skills as a Data Analyst align with our goal of improving customer outcomes. We love candidates who are genuinely excited about what we do!
✨Tip Number 3
Practice your SQL skills! Be ready to tackle some real-world data problems during your interview. We want to see how you think and approach challenges, so brush up on those technical skills and be prepared to showcase them.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re serious about joining the Zopa team!
We think you need these skills to ace Data Analyst (BI & Operations)
Some tips for your application 🫡
Show Your Data Skills: Make sure to highlight your SQL and BI tool experience in your application. We want to see how you've used data to solve problems, so share specific examples that showcase your analytical prowess!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the skills and experiences mentioned in the job description. We love seeing candidates who take the time to connect their background with what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role. Avoid jargon unless it’s relevant!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the right team that matches your skills. Let’s get started on this journey together!
How to prepare for a job interview at Zopa
✨Know Your Data Tools
Familiarise yourself with SQL, Tableau, and any other BI tools mentioned in the job description. Be ready to discuss your experience with these tools and how you've used them to solve real business problems. Showing that you can hit the ground running will impress the interviewers.
✨Understand Zopa's Mission
Dive into Zopa's story and values before your interview. Understand their approach to finance and how they aim to improve customer outcomes. This will help you align your answers with their mission and demonstrate that you're genuinely interested in being part of their team.
✨Prepare for Technical Questions
Expect technical questions related to data analysis and BI processes. Brush up on your analytical thinking and problem-solving skills. You might be asked to explain how you would approach a specific data challenge or to walk through a past project where you improved efficiency.
✨Showcase Your Communication Skills
Since you'll need to explain insights to non-technical stakeholders, practice articulating complex data concepts in simple terms. Prepare examples of how you've successfully communicated findings in the past, as this will highlight your ability to bridge the gap between data and decision-making.