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 strong data warehousing knowledge.
Our Core Analytics Engineering Team's goal in Core Banking is to make everyday money work for everyone. We’re responsible for the current account used by over 12 million users! We create the day-to-day money management experiences, including features like Trends, Salary Sorter, Bills Pots, and more. We build functionality for different audiences, including Joint Account users and Under 16 year olds. Our team even builds Subscriptions, our paid upgrades that unlock extra benefits and functionality to help our customers make financial progress. We’re now gearing up for our next phase of growth to 20 million customers.
Our Analytics Engineering discipline works at the intersection between data, engineering and our collectives - Core, Money, Borrowing, Operations and Financial Crime and beyond. The AE teams are 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 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 be leading and participating directly in technical initiatives and helping Monzo shape its Data organisation, ensuring the team focuses on valuable work, shipping things with a level of care and attention to detail. There will be a strong focus on delivering best practice across our data discipline and helping bring a new level of maturity around Data Governance principles, working in collaboration with others to deliver this.
You’ll play a key role by...
- Working in a multi-disciplinary team, you will be a hands-on leader in building a discipline of exceptional analytics engineers working to make 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.
- Being hands on through 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, be it 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!
We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo.
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 Southend-on-Sea 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 opportunities for personal and professional development, Monzo empowers its Analytics Engineering team to excel in their roles while contributing to meaningful financial solutions for millions. The company's commitment to diversity and inclusion ensures a welcoming environment for all, making it an attractive place for those seeking rewarding careers in the tech and finance sectors.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Analytics Engineering Manager, Core Banking in Southend-on-Sea
✨Tip Number 1
Network like a pro! Reach out to current employees at Monzo on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. This insider info can give you a leg up!
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Since this role is all about data warehousing and analytics, make sure you can talk confidently about your past projects and how you've tackled challenges in that space.
✨Tip Number 3
Show your passion for the role! During interviews, share why you're excited about working with Monzo and how you can contribute to making money work for everyone. Authentic enthusiasm can really set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team. We can’t wait to hear from you!
We think you need these skills to ace Remote Analytics Engineering Manager, Core Banking in Southend-on-Sea
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 knowledge of data warehousing architecture, as these are key aspects we're looking for.
Showcase Your Leadership Skills:We want to see how you've nurtured and developed high-performing teams in the past. Share specific examples of how you've supported your team members through challenges and celebrated their successes.
Be Authentic:Don’t stress if you don’t tick every box in the job description! We value passion and a willingness to learn just as much as experience. Let your personality shine through in your application!
Apply Through Our Website:For the best chance of getting noticed, make sure to submit your application through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Referrals Only
✨Know Your Data Stuff
Make sure you brush up on your data warehousing architecture and analytics engineering principles. Be ready to discuss your experience with big data, ETL projects, and any tools like dbt or BigQuery that you've used. This role is all about making data a competitive advantage, so show them you know how to do just that!
✨Show Your Leadership Skills
Since this position involves managing and mentoring engineers, be prepared to share examples of how you've supported team members in their development. Talk about your approach to giving feedback and how you celebrate successes within your team. They want to see that you can nurture talent and lead by example.
✨Understand the Company Culture
Familiarise yourself with Monzo's mission and values, especially their commitment to diversity and inclusion. Be ready to discuss how you can contribute to creating a welcoming environment for all team members. Showing that you align with their culture can set you apart from other candidates.
✨Prepare for the Application Journey
The interview process has several steps, so make sure you're ready for each one. Review the key stages: recruiter screening, initial call, take-home task, and final loop. Think about how you can showcase your skills and experiences at each stage, especially during the case study and collaboration sessions.
