At a Glance
- Tasks: Analyse data to drive performance and improve workplace culture at Monzo.
- Company: Join a forward-thinking fintech company revolutionising banking for everyone.
- Benefits: Competitive salary, flexible hours, learning budget, and remote work setup.
- Other info: Diversity and inclusion are at our core; we welcome all applicants.
- Why this job: Make a real impact by turning data into actionable insights that shape our future.
- Qualifications: Experience in People Analytics, strong SQL and Excel skills, and a knack for storytelling with data.
The predicted salary is between 61400 - 75000 £ per year.
We’re on a mission to make money work for everyone.
We’re waving goodbye to the complicated and confusing ways of traditional banking.
After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK.
As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond.
Our UK customers can also save , invest and combine our pensions with us.
With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers!
We’re not about selling products - we want to solve problems and change lives through Monzo
London/Cardiff/UK Remote | £61,400 - £75,000 + Incentive Awards tied to your performance + Benefits
Our People Technology team
We're looking for a Performance Analytics & Insights Analyst to help us measure what matters.
This role is all about using People data, performance metrics, and smart statistical tools to understand what makes our people tick, spot key trends, and give us the insights we need to make Monzo an even better place to work and how we can drive performance.
You'll be the one helping us move from 'gut feeling' to objective, data-backed decisions across the business.
Key responsibilities
- Performance Metrics Development: Define, track, and analyze the key numbers (our KPIs) that tell us how we're doing.
- Data Analysis & Modeling: Dive into mountains of data (structured and unstructured) to find the patterns and trends that matter.
- Reporting & Dashboards: Build and maintain real-time dashboards (using Google Sheets and Looker) so our senior leaders and managers know exactly what’s going on.
- Actionable Insights & Recommendations: Don't just report the numbers—tell the story!
You’ll turn complex data into clear recommendations that shape our strategy for engagement, talent, performance, culture, hiring, training, and growing our people.
- Process Improvement: Be on the lookout for things that are clunky or slow. You’ll suggest and implement data-driven solutions to make our processes run smoother and faster.
- Collaboration: Work hand-in-hand with our People teams and stakeholders across Monzo.
You’ll champion data accuracy and help everyone understand the power of a data-driven culture.
- Predictive Modeling : Use your magic to spot our rising stars (top talent) and figure out what our workforce will need in the future.
Requirements
- Tech Stack Superpowers: You're a whizz with SQL, seriously advanced in Excel, and know your way around data visualization tools like Looker.
- Analytical Brain: You've got a solid foundation in statistics - regression, significance testing, and predictive modeling.
- Communication & Data
Storytelling: You can take a complicated dataset and turn it into a clear, compelling story that lands with everyone, from the tech-savviest colleague to our senior management.
- Experience: You have real-world experience in People Analytics, HR Analytics, or a closely related Data Analysis role.
- What’s in it for you
- Salary: £61,400 - £75,000 + Incentive Awards tied to your performance.
- Location: 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).
- Working Hours: 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.
- Learning Budget: £1,000 learning budget each year to use on books, training courses and conferences.
- Remote Setup: 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!
- Equal opportunities for everyone
- Equal opportunities for everyone
Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo.
At Monzo, we’re embracing diversity by 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.
You can read more in our blog , 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report.
We’re an equal opportunity employer.
All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.
If you have a preferred name, please use it to apply.
We don't need full or birth names at application stage.
Closing date for applications is 16th August.
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Performance Analytics and Insight Analyst employer: Doist
Brink's is an exceptional employer that fosters a collaborative and innovative work culture, empowering employees to drive global commercial strategies in the ATM lifecycle solutions sector. With a strong focus on professional development and growth opportunities, employees are encouraged to expand their skills while contributing to sustainable growth and operational excellence. Located in a dynamic environment, Brink's offers unique advantages such as a diverse team and the chance to build long-term partnerships with global customers, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Performance Analytics and Insight Analyst
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Doist!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Doist.
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We think you need these skills to ace Performance Analytics and Insight Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Doist, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Doist. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Doist
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Doist!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
