Java Programming, SAP, Oracle, Python Programming, SQL, Agile methodologies, Scala Programming, JIRA, A/B Testing, Google BigQuery, Data Mining, Looker, Apache Airflow, Data Modelling, Experimentation, Large scale data processing, Data Biuld Tool - dbt
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 process over 50,000 different event types with millions of raw events to serve machine learning, self service analytics, business intelligence and Data Science each night. The Analytics Engineering discipline works across all of Monzo - Borrowing, Finance, Platform, Personal Banking, Marketing, Finance, Operations (and more!). Analytics Engineering is our largest growth area for the Data discipline at Monzo, growing from just 2 people 24 months ago to over 30 now.
As Head of Analytics Engineering, you’ll build and coach a team capable of building an amazing Data Warehouse, surfaced in a fantastic, structured business intelligence tool to support decision making and, key financial reconciliation processes and best in class analytics and Data Science. You’ll own end to end data transformations from event, to data warehouse and beyond. You’ll own career development, hiring, team prioritisation and ensuring effective delivery of projects. You’ll be responsible for the future strategic direction of Analytics Engineering, working for the entire team as well as setting best practices with your own execution of key projects. You’ll be one of the key members of the discipline leadership team to help prepare the data discipline for its next growth phase.
Our Data Discipline mission is to enable Monzo to Make Better Decisions, Faster
At the core of this mission sits our data platform. We're great believers in powerful, real-time analytics and empowerment of the wider business. Every engineer at Monzo is responsible for collection of relevant analytics events from their microservices. We optimise for simplicity and re-usability – all our data lives in one place and is made available via our data warehouse in Google BigQuery. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.
Our technology stack
We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them):
The role
You will:
You should apply if
Nice to haves
Logistics
Equal Opportunity Statement
At Monzo, embracing diversity in all of its forms and 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.
We're an equal opportunity employer. All applicants will be considered for employment without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity status or disability status.
Monzo Bank Ltd, is an online bank based in the United Kingdom. Monzo was one of the earliest of a number of new app-based challenger banks in the UK.