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Senior Analytics Engineer

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monzo
Posted 3 days ago
Posted 30 April 2026
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About the Role

<div class="content-intro"><p><strong><em>🚀 We’re on a mission to make money work for everyone.</em></strong></p> <p>We’re waving goodbye to the complicated and confusing ways of traditional banking.</p> <p>After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as&nbsp;<a href="https://monzo.com/current-account/personal&quot;&gt;personal&lt;/a> and <a href="https://monzo.com/business-banking&quot;&gt;business&lt;/a> bank accounts, we offer <a href="https://monzo.com/current-account/joint-account&quot;&gt;joint accounts</a>, <a href="https://monzo.com/current-account/16-17&quot;&gt;accounts for 16-17 year olds</a>, a <a href="https://monzo.com/current-account/under-16s&quot;&gt;free kids account</a> and <a href="https://monzo.com/flex&quot;&gt;credit cards</a> in the UK, with more exciting things to come beyond. Our UK customers can also <a href="https://monzo.com/savings&quot;&gt;save&lt;/a>, <a href="https://monzo.com/investments&quot;&gt;invest </a>and&nbsp;<a href="https://monzo.com/pensions&quot;&gt;combine their pensions</a> with us.&nbsp;</p> <p>With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers!</p> <p>We’re not about selling products - we want to solve problems and change lives through Monzo ❤️</p> <hr> <p>&nbsp;</p></div><p>📍London/Cardiff/UK Remote | 💰 £76,500-£95,000 ➕ Incentive Awards tied to your performance and <a href="https://monzo.com/careers/&quot;&gt;&amp;nbsp;Benefits&lt;/a> |<a href="https://www.youtube.com/watch?v=U62l09nB0M4"> Hear from the team</a> ✨</p> <p><strong data-stringify-type="bold"><span class="c-emoji c-emoji__medium c-emoji--inline" data-qa="emoji" data-sk="tooltip_parent"><img style="max-width: 100%;" src="https://a.slack-edge.com/production-standard-emoji-assets/14.0/apple-medium/2b50.png" alt=":star:" data-stringify-type="emoji" data-stringify-emoji=":star:"></span></strong><strong data-stringify-type="bold">&nbsp;Analytics Engineering at Monzo</strong><br>We have around 60 Analytics Engineers out of roughly 300 data practitioners in total - and we have big ambitions for the discipline. Analytics Engineering is at the core of how we build our data to enable Monzo to make better and faster decisions by having a performant, scalable and high quality data warehouse. As an Analytics Engineer here you'll be working collaboratively with other disciplines like product, engineering and data science, and we run regular knowledge-sharing sessions so you’ll learn loads about everything from our data modelling principles to how banks work and effective communication.</p> <p><strong>What you’ll be working on:&nbsp;</strong></p> <p>The Analytics Engineering team is responsible for building downstream data models from backend services with the desire to make our Data Warehouse a genuine competitive advantage for Monzo. We want a discipline capable of building an amazing Data Warehouse to support decision making, Business Intelligence, key financial reconciliation processes and best in class analytics and Data Science.&nbsp;</p> <p>You’ll enable our data driven approach, and:</p> <ul> <li style="line-height: 1.5;">Support the building of robust data models downstream of backend services (mostly in BigQuery) that support internal reporting, machine learning as well as financial and regulatory use cases.</li> </ul> <ul> <li>Focus on optimisation of our Data Warehouse, spotting opportunities to reduce complexity and cost.</li> </ul> <ul> <li>Help define and manage best practices for our Data Warehouse. This may include payload design of source data, logical data modelling, implementation, metadata and testing standards.</li> </ul> <ul> <li>Set standards and ways of working with data across Monzo, working collaboratively with others to make it happen.</li> </ul> <ul> <li>Take established best practices and standards defined by the team, applying them within other areas of the business.</li> </ul> <ul> <li>Investigate and effectively work with colleagues from other disciplines to monitor and improve data quality within the warehouse.</li> </ul> <ul> <li style="line-height: 2;">Contribu

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