Senior Analytics Engineer/BI Analyst (Collections & Recoveries)

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. Want to see us in action? Follow us on Instagram @zopalife

We are hiring a Senior Analytics Engineer/BI Analyst to join our Collections & Recoveries team.

This role is ideal for technically strong, curious analysts who enjoy using data, reporting and automation to solve meaningful business problems. You will improve access to insight, reduce manual processes and build scalable data solutions that support better decisions across the bank.

You’ll have the opportunity to help shape the team’s priorities, explore new ideas and build solutions that make a difference for our customers and colleagues.

The opportunity

In this role, you’ll work across BI, analytics and data modelling, building trusted data solutions that help teams understand performance and make better decisions. You’ll use SQL and tools such as dbt to transform and model data, define clear, consistent metrics and create self-serve reporting. Working closely with Analytics Engineering and stakeholders across the business, you’ll help make data accessible and reliable, enabling teams to identify opportunities and solve problems at scale.

You’ll join at a stage where there is an opportunity to explore the problem space and help shape the roadmap. You’ll identify opportunities, tackle priority problems and help decide where data and analytics can have the greatest impact.

This is a hands-on role, with scope to build and test ideas yourself while developing your influence with stakeholders. You’ll also have the opportunity to explore how automation and AI tools could improve the way the team works and support better decisions.

Collections & Recoveries
Helping to deliver better outcomes for customers in financial difficulty through high-quality MI, operational performance insight and process efficiency. You will partner closely with Collections, Operations and Credit Strategy stakeholders to understand performance, improve reporting and support data-led decision making.

Design, build and maintain dashboards using Tableau or similar BI tools

Use SQL to explore data, build structured datasets and deliver repeatable analysis

Build and maintain data models and transformations, using tools such as dbt, to make data reliable and accessible for reporting and analysis

Partner with stakeholders to understand business problems and turn them into practical analytical solutions

Define, document and maintain clear, trusted metrics

Deliver recurring MI and self-serve reporting that supports operational and risk decision making

Work with Analytics Engineering to design and improve core data models, including modernising stored-procedure logic into maintainable transformations

Improve data quality, reporting standards and the usability of analytics products

Identify opportunities to reduce manual work and explore how automation and AI tools could improve processes and decision making

Share knowledge and help others in the team adopt and develop effective approaches

Support performance monitoring across Collections & Recoveries

Experience in a BI, analytics or reporting role, with a track record of creating reliable production datasets, scalable reporting and self-serve insight

Strong SQL skills and confidence working with large, complex datasets

Experience with a BI tool such as Tableau, Looker or Power BI

Experience with data modelling or dbt, including building robust pipelines and maintaining clear documentation

Strong analytical judgement, attention to detail and focus on data accuracy

Ability to take ambiguous business needs, work productively with technical and non-technical stakeholders, and turn them into practical data products

Communicate clearly, constructively challenge and explain complex data concepts to non-technical stakeholders

An organised, curious and proactive approach to problem solving and managing priorities.

Comfort working through ambiguity, asking questions and using your judgement to help shape the way forward

Enjoy taking ownership of your work, collaborating with others and sharing knowledge

Python experience would be beneficial but is not essential

Helpful experience

Experience in Collections & Recoveries or a related financial services environment

Experience using automation or AI tools to improve analytical workflows or solve business problems

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.

*Subject to having the right to work in the country of choice

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.

Our approach to AI in interviews

At Zopa, AI isn't something we're testing out — it's part of how we work every day. As a proud partner of Jobs 2030, we're committed to building AI fluency across our workforce, and we expect Zopians to use AI as part of how they do their jobs.

Because of that, we want to be transparent about how we think about AI use during our hiring process.

Behavioural and competency-based interviews: please don't use AI. These conversations are designed to understand you — your experiences, your judgment, and how you've approached real situations. An AI-generated answer can't tell us that. What it can do is get in the way of us finding out whether we're the right fit for each other.

Technical interviews: it depends on the role. Some technical stages actively welcome AI use, others don't. Your Talent Partner will let you know what's expected at each stage. Where AI is part of the assessment, we'll be interested not just in the outcome, but in how you used it – the tools you chose, your reasoning, and the decisions you made along the way.