At a Glance
- Tasks: Generate insights to drive our Financial Health strategy and improve customer support.
- Company: Join Monzo, a revolutionary banking company focused on financial wellbeing.
- Benefits: Earn £76,000 to £95,000 plus performance incentives and flexible working options.
- Other info: Enjoy a dynamic work environment with a £1,000 learning budget and career growth opportunities.
- Why this job: Make a real impact on customers' financial health while working with innovative data tools.
- Qualifications: Experience in data analysis and a passion for solving challenging problems.
The predicted salary is between 76000 - 95000 € per year.
Cardiff, London or Remote (UK) | £76,000 to £95,000 + Incentive Awards tied to your performance + Benefits | Data Team, Borrowing
About our Financial Health Team: We are scaling up our Data and Credit team to support the rapid growth and evolution of our portfolio. We are looking for a Senior Data Analyst to join our Financial Health squad who are focused on supporting customers in financial difficulty.
As a Senior Data Analyst, you’ll be working in collaboration with Product, Data Science and Analytical Engineering peers on data-driven insights and initiatives. We’re looking for an experienced Senior Data Analyst with hands-on experience who can bring fresh thinking and new ways to inspire the team and our customers.
What you’ll be working on:
- Partner with Product Managers, Engineers, and Data Scientists in an agile product environment.
- Champion the use of data and bring ideas to life through a rigorous analytical approach.
- Focus on improving the support we offer to customers in financial difficulty, ensure our operational processes are well controlled and we meet regulatory requirements.
- Generate insights that can drive the direction of our Financial Health strategy through proactive analysis.
- Bring data-driven rigour to our approach to product development and build a strategic understanding of the business while structuring complex projects to bring them to life.
- Work and advise on Financial Health’s global expansion strategy.
- Develop and maintain Looker dashboards, reports and metrics that assess business and customer outcomes within Financial Health.
- Ensure accurate reporting to third parties and regulators.
- Build and maintain controls to ensure our business processes are running as intended.
- Lead projects to improve the accuracy, efficiency and accessibility of our data.
Locations & flexible working: Our main tech hub is in London, but our data teams are based all over the UK — from Brighton to the Western Isles. We love meeting in person, but there’s no pressure to come into the office, even if you’re nearby. You’ll do your best work where you feel most comfortable. We value flexibility, connection, and wellbeing. You’ll have the freedom to work in a way that fits your life, whether that’s school drop-offs, avoiding rush hour, or making time for what matters most.
Our technology stack: Our Data team's 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. Our engineers collect analytics events from their microservices, and upload these into our Data stack for analysis. 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. We rely heavily on the following tools and technologies:
- Google Cloud Platform for all of our analytics infrastructure.
- dbt and BigQuery SQL for our data modelling and warehousing.
- Python for data science.
- Go to write our application code.
- AWS for most of our backend infrastructure.
You should apply if:
- What we’re doing here at Monzo excites you!
- You are passionate about using data to improve and inform business decisions.
- You’re motivated by solving challenging problems, and communicating and collaborating closely with subject matter experts on those solutions.
- You’re excited by the opportunity to work autonomously to impact the future of a fast growing, ever evolving business.
- You’re as comfortable getting hands-on as taking a step back and thinking strategically.
- You are experienced with using a variety of Data Analysis tools.
- You have a solid grounding in SQL.
- Experience in Financial Health is a plus, but not required.
The Interview Process: Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!
- 30 minute recruiter call.
- 45 minute initial call.
- Take home task.
- 2 x 1-hour video calls, including a technical case study.
Our average process takes around 3-4 weeks but we will always work around your availability.
What’s in it for you: £76,000 to £95,000 + Incentive Awards tied to your performance + Benefits. We can help you relocate to the UK. We can sponsor visas. 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, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences.
Senior Data Analyst, Financial Health in London employer: Referrals Only
At Monzo, we pride ourselves on being an exceptional employer that champions flexibility, innovation, and employee wellbeing. Our collaborative work culture encourages personal growth and creativity, allowing you to thrive in a supportive environment while making a meaningful impact on customers' financial health. With competitive salaries, performance-based incentives, and a generous learning budget, we empower our team members to excel both professionally and personally, whether working from our vibrant London office or remotely across the UK.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst, Financial Health in London
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at events. Ask them about their experiences and get the inside scoop on what it’s really like to work at Monzo. This can give you a leg up in your application process.
✨Tip Number 2
Prepare for those interviews! Brush up on your SQL skills and be ready to discuss how you've used data to drive decisions in the past. Think of specific examples that showcase your analytical prowess and problem-solving abilities.
✨Tip Number 3
Show your passion for financial health! Research Monzo’s mission and values, and think about how your experience aligns with their goals. Be ready to share your thoughts on how data can improve customer support for those in financial difficulty.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team and are familiar with our processes.
We think you need these skills to ace Senior Data Analyst, Financial Health in London
Some tips for your application 🫡
Show Your Passion for Data:When you're writing your application, let your enthusiasm for data shine through! We want to see how excited you are about using data to make a real difference in people's financial health.
Tailor Your Application:Make sure to customise your application to highlight your relevant experience and skills. Mention specific tools you've used, like SQL or Python, and how they relate to the role. We love seeing how you can bring fresh thinking to our team!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language and avoid jargon where possible. We appreciate a well-structured application that makes it easy for us to see your qualifications and fit for the role.
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. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Referrals Only
✨Know Your Data Tools
Familiarise yourself with the tools mentioned in the job description, like Google BigQuery and SQL. Be ready to discuss how you've used these tools in past projects and how they can help improve financial health initiatives.
✨Understand Financial Health
Research the concept of financial health and its importance in banking. Be prepared to share your thoughts on how data analysis can support customers in financial difficulty and drive positive outcomes.
✨Showcase Collaboration Skills
Since you'll be working closely with Product Managers and Data Scientists, think of examples where you've successfully collaborated in a team. Highlight your ability to communicate complex data insights clearly to non-technical stakeholders.
✨Prepare for the Technical Case Study
The interview includes a technical case study, so practice analysing data sets and presenting your findings. Make sure you can explain your analytical approach and the impact of your insights on business decisions.
