Senior Analytics Engineer, Business Intelligence Platform
Anywhere (UK)
Monzo
Join over 9 million people with a Monzo bank account. Free current accounts, joint accounts and business banking for all! We make money work for everyoneWe are looking for an experienced data professional to help us grow and build a best in-class business intelligence platform with Looker.
As a senior individual contributor you will help scale our BI platform which supports data-driven decision making across the whole of Monzo. Our goal is to build a flawless experience - one that is performant, curated and delightful.
You will work as part of a team and partner with other teams in the business to improve standards, automate tasks, tune performance and much more.
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):
- Google Cloud Platform for all of our analytics infrastructure
- dbt and BigQuery SQL for our data modelling and warehousing
- Looker for business intelligence
- Python for data science
- Go to write our application code
- AWS for most of our backend infrastructure
The role
- Develop curated, performant and high quality data products
- Define key problem statements and ideate solutions
- Effectively scale serve analytics at Monzo by tuning performance and queries, building tooling, automating repetitive tasks, improving our information architecture and more
- Define best practices in Looker and across the broader data stack for example: explore design, LookML standards, data modelling, dashboard design, user administration and more
- Educate on and enable best practices for how we organise and structure content, develop explores and visualise data and more
- Enable and empower developers, analysts and leaders across the company to make better decisions with data
You should apply if
- You can point to a solid track record as a Looker developer and analyst
- You enjoy defining problem statements and proposing solutions
- You are comfortable planning and leading projects
- You have excellent SQL and data modelling skills
- You are a self-starter - you take initiative in spotting opportunities and finding ways to solve challenges
- You are used to communicating technical work to non-technical people
- You can demonstrate how you’ve automated repetitive tasks
Nice to haves
- You have experience as a Looker administrator
- You have experience with scripting languages like Python
- You have experience working with orchestration frameworks like Airflow and Luigi
- You have previously used dbt, dataform or similar tooling.
- You have worked following AGILE frameworks like Kanban or Scrum
Logistics
We can help you relocate to London & we can sponsor visas.
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.
Diversity and inclusion is a priority for us – if we want to solve problems for people around the world, our team has to represent our customers. So we need to attract the best talent and create an environment that supports and includes them. You can read more about diversity and inclusion on our blog.
If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.
The application process consists of a 30-min phone call with a recruiter, an initial call with someone from the team, followed by a practical written exercise and 2-3 on-site interviews remotely via hangouts. We promise not to ask you any brain teasers or trick questions.
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
Tags: Agile Airflow Architecture AWS BigQuery Business Intelligence Data warehouse GCP Google Cloud Kanban Looker LookML Microservices Python Scrum SQL
Perks/benefits: Career development Flex hours Team events
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