We’re on a mission to make money work for everyone.
We’re waving goodbye to the complicated and confusing ways of traditional banking.
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!
We’re not about selling products - we want to solve problems and change lives through Monzo.
Our Operations Analytics Engineering Team:
Our Mission in Operations is to deliver an effortless experience for everyone - helping Monzo deliver on its mission of making money work for everyone.
Data is crucial to the success of this mission and Operations Analytics Engineers are at the core of how we build, scale and re-architect our Operations Data Warehouse to enable Monzo to make better decisions, faster, and help serve Monzo’s customers better.
We're looking for a Lead Analytics Engineer within our Operations team to help build world-class service for the bank of the future. You will play a critical role in overseeing our foundational data platforms, identifying and driving opportunities to enhance our current capabilities. Your expertise will be pivotal in allowing us to scale into new markets and working with partners internally and externally to ensure we can design and build a first-class system to meet our customers’ needs.
This is a great opportunity to shape the future direction of how we serve our customers, enabling data to ensure we can provide a world-class efficient service for all of Monzo's customers, as we lay the foundations to build a best-in-class analytics function. You’ll work closely within our Operations Collective with product and engineering teams to build out our forecasting and routing systems, while partnering with our core operations team to enable a fast and agile workforce.
We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business.
Responsibilities:
- Serving as a data architect for Monzo’s Operations data, contributing to the design and scalability of data models that measure the performance of our Operations product suite.
- Develop robust data models downstream of backend services, primarily in BigQuery, to support internal reporting, machine learning, large language models, as well as financial and regulatory use cases.
- Scoping, building and leading through others the re-architecture of entire domains across Operations (including data about our workforce and about demands of our customers).
- Be a key voice in shaping and maintaining best practices for our Data Warehouse, including source data payload design, logical data modelling, implementation, metadata, and testing standards.
- Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices.
- Contribute to prioritising data governance issues, ensuring a comprehensive approach to data integrity and compliance.
- Being a key technical leader who’s able to champion central platform initiatives that aim to elevate the data standards across Operations and beyond.
- 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.
We’d love to hear from you:
- You have a strong passion for data modelling, ETL projects, and Big Data.
- You enjoy working with data streams from various services, such as financial, transactional, and operational systems.
- SQL and data modelling are second nature to you, and you are comfortable with general Data Warehousing concepts.
- You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others.
- You have experience building robust and reliable data sets that require a high level of control.
- You enjoy working with cross-functional fast-moving teams and are passionate about serving our customers.
- You are able to think strategically about credit products and how our underlying data models will unlock more insights for our team and more value for our customers.
- You are excited about enabling other data scientists, analytics engineers and credit analysts by sharing your expertise on data architecture.
- You have the ability to shape big, ambiguous data domains and get the required buy-in from key leaders across the business.
- You are able to shape and manage the technical roadmap of an entire domain and execute against the project plan’s deliverables.
- You are leading through the contributions of others by effectively leveraging the multiplier effect to create exponential value across Operations and Analytics Engineering.
- Excel in cross-functional stakeholder communication (back-end engineers, product managers, and credit analysts), while also effectively engaging with senior technical leaders.
The interview process:
Our interview process involves 4 main stages:
- Technical task
- 3 x 1 hour sessions (final interview)
Our average process takes around 2-3 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your hiring process, but if you do have any specific questions before this please contact us on
Apply for this job
* indicates a required field
First Name *
Last Name *
Email *
Phone
Resume/CV
LinkedIn Profile
Please confirm your UK Right to Work status. *
Equal opportunities for everyone
Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us.
#J-18808-Ljbffr