About the Role
<p>📍 London, Cardiff or Remote in the UK | <a href="https://monzo.com/careers/">Benefits</a> | <a href="https://www.youtube.com/watch?v=U62l09nB0M4">Hear from the team</a> ✨| Check out our <a href="https://sites.google.com/monzo.com/career-launchpad/home">Career Launchpad</a> 🚀</p> <p><strong>What you’ll be working on: </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. </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;">Contribute to prioritisation of data governance issues</li> <li style="line-height: 2;">We all own and support the pipelines we contribute to, and on call support out of hours will be expected from time to time as part of this role</li> </ul> <div class="p-rich_text_section"><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%;" ----- alt=":star-struck:" data-stringify-type="emoji" data-stringify-emoji=":star-struck:"></span></strong><strong data-stringify-type="bold">We’d love to hear from you if…</strong></div> <ul class="p-rich_text_list p-rich_text_list__bullet" data-stringify-type="unordered-list" data-indent="0" data-border="0"> <li style="line-height: 2;" data-stringify-indent="0" data-stringify-border="0">You enjoy working with cross functional fast moving teams and are passionate about serving small businesses.</li> <li style="line-height: 2;" data-stringify-indent="0" data-stringify-border="0">You are able to think strategically about the Business Banking product and how our underlying data models will unlock more insights for our team and more value for our customers.</li> <li style="line-height: 2;" data-stringify-indent="0" data-stringify-border="0">You have a strong passion for data modelling, ETL projects, and Big Data.</li> <li style="line-height: 2;" data-stringify-indent="0" data-stringify-border="0">You enjoy working with data streams from various services, such as financial, transactional, and operational systems.</li> <li style="line-height: 2;" data-stringify-indent="0" data-stringify-border="0">SQL and data modelling are second nature to you, and you are comfortable with general Data Warehousing concepts.</li> <li style="line-height: 2;" data-stringify-indent="0" data-stringify-border="0">You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others.</li> </ul> <h4><strong>Nice to haves</strong></h4> <ul> <li style="line-height: 1.5;">Any experience working within a finance function or knowledge of accounting.</li> </ul> <ul> <li>Experience working in a highly regulated environment (e.g. finance, gaming, food, health care).&am