At a Glance
- Tasks: Lead a team of analytics engineers to build exceptional data solutions for millions of users.
- Company: Join Monzo, a forward-thinking bank transforming everyday money management.
- Benefits: Competitive salary, flexible hours, learning budget, and remote work options.
- Other info: Diverse and inclusive team culture with excellent career growth opportunities.
- Why this job: Make a real impact in the finance industry while developing your leadership skills.
- Qualifications: Experience in managing engineers and data warehousing architecture.
Our Core Analytics Engineering Team aims to make everyday money work for everyone. We’re responsible for the current account used by over 12 million users, creating day-to-day money management experiences, including features like Trends, Salary Sorter, Bills Pots, and more. Our team builds functionality for different audiences, including Joint Account users and Under 16 year olds, and develops Subscriptions, our paid upgrades that unlock extra benefits and functionality to help our customers make financial progress. We’re gearing up for our next phase of growth to 20 million customers.
Our Analytics Engineering discipline works at the intersection of data, engineering, and our collectives - Core, Money, Borrowing, Operations, Financial Crime, and beyond. The AE teams are responsible for building downstream data models from backend services, aiming to make our Data Warehouse a genuine competitive advantage for Monzo. We want a discipline capable of building a reliable and scalable Data Warehouse to support decision-making in a cost-effective and performant manner.
Managers within Data have two primary responsibilities: people and technical products. Your focus will be on helping engineers with their personal and professional development, listening and guiding them through hard times, and celebrating their successes. You will also lead and participate directly in technical initiatives, helping Monzo shape its Data organisation, ensuring the team focuses on valuable work, shipping things with care and attention to detail. There will be a strong focus on delivering best practices across our data discipline and helping bring a new level of maturity around Data Governance principles, working collaboratively to deliver this.
You’ll play a key role by:
- Being a hands-on leader in building a discipline of exceptional analytics engineers, making Data at Monzo the gold standard within the industry.
- Nurturing between 5 to 6 analytics engineers, supporting, coaching, and developing high-performing engineers through regular 1:1s, continuous feedback, and relationships with others.
- Aiding prioritisation of initiatives and projects, working closely with other leads for each of our Monzo collectives.
- Participating in the review cycle, architecture and design leadership, and development of your own changes to the pipelines.
- Being part of the hiring team within Analytics Engineering.
- Working closely with other leads to deliver a scalable, consistent approach to governance and best practices.
- Driving effective project management of central Analytics Engineering projects, ensuring they’re well scoped and delivered to deadlines.
- Establishing yourself as a trusted partner to various collectives and the leadership team, with the capacity for getting things done, either hands-on or by leading others.
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 if:
- You have experience managing or mentoring the performance and development of high-performing engineers.
- You have strong experience in data warehousing architecture at scale.
- You have experience and a passion for leading data warehousing, data visualisation, big data, or ETL projects as an analyst, developer, designer, or architect.
- You know what it takes to hire great engineers within the data space.
- You’re equally comfortable working hands-on and leading a team.
Nice To Haves:
- Any experience working within a finance or banking environment.
- Experience working in a highly regulated environment (e.g. finance, insurance, gaming, food, health care).
- Experience with any of our stack of dbt, BigQuery, and Looker.
Not ticking every box? That’s totally okay! Studies show that women and people of colour might hesitate to apply unless they meet every single requirement. At Monzo, we’re dedicated to creating a diverse and welcoming team. If you’re passionate about this role and keen to learn and grow with us, we encourage you to apply— even if you don’t have everything that’s listed just yet.
What’s in it for you:
- £97,800-£125,000.
- We’ll help you relocate to the UK.
- We can sponsor your visa.
- This role can be based in our London office, but we're 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, and at times that suit you and your team.
- £1,000 learning budget each year to use on books, training courses, and conferences.
- We will set you up to work from home; all employees are given Macbooks, and for fully remote workers, we will provide extra support for your work-from-home setup.
- Plus lots more!
The application journey has 4 key steps: Recruiter Screening Call, Initial Call, Take Home Task, Final Loop (3 sessions - case study, collaboration, and people leadership). This process should take around 2-3 weeks - your schedule is really important to us, so we promise to be as flexible as possible!
For more insight into the AE team at Monzo, check out our podcast with John Azzopardi, one of our Senior Leaders in AE.
Remote Analytics Engineering Manager, Core Banking in Norfolk employer: Referrals Only
Monzo is an exceptional employer that prioritises the growth and well-being of its employees, offering a supportive work culture where innovation thrives. With flexible working hours, a generous learning budget, and the opportunity to work remotely from anywhere in the UK, Monzo fosters a collaborative environment that empowers analytics engineers to excel in their careers while contributing to meaningful financial solutions for millions. Join us in shaping the future of banking and enjoy the unique advantages of being part of a diverse and inclusive team dedicated to making money management accessible for everyone.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Analytics Engineering Manager, Core Banking in Norfolk
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. It’s all about making connections that can help us stand out!
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to analytics engineering. We should also be ready to discuss our past projects and how they relate to the role. Confidence is key, so let’s nail that prep!
✨Tip Number 3
Showcase our passion for data! During interviews, let’s share our enthusiasm for analytics and how we can contribute to Monzo's mission. A genuine interest can really set us apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen. Plus, it shows we’re serious about joining the team. Let’s make that move and get our foot in the door!
We think you need these skills to ace Remote Analytics Engineering Manager, Core Banking in Norfolk
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Analytics Engineering Manager role. Highlight your experience in managing engineers and your technical skills in data warehousing, as these are key to what we’re looking for.
Show Your Passion:Let us know why you’re excited about this role and our mission at Monzo. Share any relevant projects or experiences that demonstrate your enthusiasm for data and engineering, especially in a banking context.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Referrals Only
✨Know Your Stuff
Make sure you brush up on your data warehousing architecture and analytics engineering principles. Familiarise yourself with the tools mentioned in the job description, like dbt, BigQuery, and Looker. Being able to discuss these confidently will show that you're not just a good fit but also genuinely interested in the role.
✨Showcase Your Leadership Skills
Since this role involves managing and mentoring engineers, be prepared to share examples of how you've supported team members in their development. Think about specific instances where you’ve provided feedback or helped someone overcome challenges. This will demonstrate your capability as a hands-on leader.
✨Understand the Company Culture
Take some time to research Monzo’s values and culture. They’re keen on diversity and creating a welcoming environment, so think about how your own experiences align with this. Be ready to discuss how you can contribute to fostering an inclusive team atmosphere.
✨Prepare for the Application Journey
Familiarise yourself with the interview process outlined in the job description. Prepare for each step, especially the take-home task and final loop sessions. Practising case studies and collaboration scenarios will help you feel more confident and ready to impress during the interviews.
