Sep 23, 2024 - Monzo is hiring a remote Analytics Engineering Lead, Operations. Salary: £90-110k base plus stock options & benefits. Location: UK.
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.
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 play a key role by...
* 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.
* Be a key voice in shaping and maintaining best practices for our Data Warehouse.
* 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.
* 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.
The interview process:
Our interview process involves 4 main stages:
* Recruiter call
* Initial call
* Technical task
* 3 x 1 hour sessions (final interview)
Please contact us on tech-hiring@monzo.com if you have any specific questions before this.
We can help you relocate to the UK and sponsor visas.
This role can be based in our London office, but we're open to distributed working within the UK.
We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
Learning budget of £1,000 a year for books, training courses and conferences.
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.
We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.
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