Senior Analytics Engineer
Senior Analytics Engineer
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Job Description
Were on a mission to make money work for everyone.
Were waving goodbye to the complicated and confusing ways of traditional banking.
After starting as a prepaid card our product offering has grown a lot in the last 10 years in the UK. As well aspersonal and business bank accounts we offer joint accounts accounts for 16-17 year olds a free kids account and credit cards in the UK with more exciting things to come beyond. Our UK customers can also save invest andcombine their pensions with us.
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!
Were not about selling products - we want to solve problems and change lives through Monzo
London/Cardiff/UK Remote 76500-95000 BenefitsHear from the team
Analytics Engineering at Monzo
We have around 50 Analytics Engineers out of roughly 200 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 youll be working collaboratively with other disciplines like product engineering and data science and we run regular knowledge-sharing sessions so youll learn loads about everything from our data modelling principles to how banks work and effective communication.
What youll be working on:
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.
Youll enable our data driven approach and:
- 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.
- Focus on optimisation of our Data Warehouse spotting opportunities to reduce complexity and cost.
- 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.
- Set standards and ways of working with data across Monzo working collaboratively with others to make it happen.
- Take established best practices and standards defined by the team applying them within other areas of the business.
- Investigate and effectively work with colleagues from other disciplines to monitor and improve data quality within the warehouse.
- Contribute to prioritisation of data governance issues
- 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
- You enjoy working with cross functional fast moving teams and are passionate about serving small businesses.
- 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.
- 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.
Nice to haves
- Any experience working within a finance function or knowledge of accounting.
- Experience working in a highly regulated environment (e.g. finance gaming food health care).
- Knowledge of regulatory reporting and treasury operations in retail banking
- Exposure to Python Go or similar languages.
- Experience working with orchestration frameworks such as Airflow/Luigi
- Have previously used dbt dataform or similar tooling.
- Used to AGILE ways of working (Kanban Scrum)
The Interview Process:
Our interview process involves 3 main stages:
- 30 minute recruiter call
- 45 minute call with the hiring manager
- Take home task
- 2-part final stage
Our average process takes around 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 process but if you do have any specific questions ahead of this please contact us on Please also use that email to let us know if theres anything we can do to make your application process easier for you because of disability neurodiversity or any other personal reason.
Whats in it for you:
We can help you relocate to the UK
We can sponsor visas
This role can be based in our London office but were open to distributed working within the UK (with ad hoc meetings in London).
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 1000 a year for books training courses and conferences
And much more see our full list of benefits here
#LI-AE1 #LI-REMOTE
Equal opportunities for everyone
Diversity and inclusion are a priority for us and were making sure we have lots of support for all of our people to grow at Monzo. At Monzo were embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog 2024 Diversity and Inclusion Report and 2024 Gender Pay Gap Report.
Were 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.
If you have a preferred name please use it to apply. We dont need full or birth names at application stage
Required Experience:
Senior IC
Employment Type
Full Time
