Strong fit for technically strong, detail-oriented analysts who build scalable data solutions and collaborate closely with cross-functional teams in the financial services domain, based in London with hybrid work requirements.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Zopa via Lever
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. Want to see us in action? Follow us on Instagram @zopalife
We are hiring Senior BI Analysts 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.
The opportunity
This role has a strong BI and reporting focus, with a meaningful element of data modelling and collaboration with Analytics Engineering. You will build trusted data pipelines, establish semantic layers with clearly defined metrics and design self-serve reporting. You will enable analysis at scale and help teams monitor performance, identify opportunities and make informed 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.
A day in the life:
Design, build and maintain dashboards using Tableau or similar BI tools
Use SQL to explore data, build structured datasets and deliver repeatable 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
Support performance monitoring across either operational or risk-focused domains
About you:
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 approach to problem solving and managing priorities
Python experience would be beneficial but is not essential
Helpful experience
Experience analysing credit, operational or customer performance metrics would be useful
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.
Source: Zopa careers (Lever)