<p>📍 London, Cardiff or Remote in the UK | <a href=" href="https://www.
com/watch?v=U62l09nB0M4">Hear from the team</a> ✨| Check out our <a href="https://sites.
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.