Data Analyst (BI & Operations)

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 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: Enabling 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.