• Collaborate with business stakeholders to gather and interpret requirements for data analysis and reporting • Measure, track, and analyze operations efficiency, identify trends, work with stakeholders to understand root causes, and translate learnings into actionable insights. • Build, own, and maintain key performance metrics and dashboards and present insights to business partners and executive leadership. • Design, measure, and communicate results from experiments to enable accelerated decision-making about potential process and technology improvements. • Lead the sprint-planning process with business stakeholders to drive alignment on project prioritization and progress. • Support the development of new data visualization and continuous improvement of internal reporting to drive visibility into performance. • Advise leadership on potential opportunities or hazards that affect the business's ability to meet strategic goals.

• Develop lakehouses/warehouses, dataflows and semantic models in Microsoft Fabric under established standards and guidance • Design, develop, and maintain Power BI dashboards and reports • Apply best practices for data modeling, DAX, and report performance optimization • Collaborate with stakeholders to understand their data needs • Ensure the accuracy and reliability of data presented in the dashboards • Train end-users on how to use the dashboards and reports effectively • Troubleshoot data-related issues and maintain the Power BI infrastructure • Stay updated with the latest Power BI features, updates, and best practices • Conduct descriptive and diagnostic analysis to identify trends, risks, and improvement opportunities.

🚀 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 their 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 or Remote (UK) | 💰 £55,000 to £78,000 + Incentive Awards tied to your performance + Benefits | Data Team, Borrowing About our Data Analytics: We're looking for a Data Analyst excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement in 2026 and help us to build a bank that customers truly love. At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over 12 million customers in the UK. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals. Enable Monzo to Make Better Decisions, Faster We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. What you’ll be working on: As a Data Analyst you will partner with Product Managers, Engineers, and Data Scientists in an agile product environment. Within the Customer Strategy & Marketing space you will act as an internal strategic consultant across the business. You’ll champion the use of data to solve horizontal challenges across the complete customer experience. Your day-to-day: - Generate insights that can drive the direction of our strategy through proactive analysis - Take ownership of understanding who our customers are and how they interact with our product - Work on Monzo’s global expansion strategy - Create metrics used to understand user behaviour and drive product decisions. - Develop and maintain Looker dashboards, reports and metrics that assess business and customer outcomes - Build and maintain controls to ensure our business processes are running as intended - Improve the accuracy, efficiency and accessibility of our data How we work: 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. Work the way that works for you at Monzo! 💼 We'd love to hear from you if: What we’re doing here at Monzo excites you! - 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 are experienced with using a variety of Data Analysis tools. You know when to pick the right tool, and can help others do the same - You have a solid grounding in SQL - You have experience with data visualisation tools such as Looker Studio, Tableau, PowerBi, etc. The interview process: Our interview process involves 4 main stages: - Recruiter call - Initial call - Take home task - Final stage (x2 interviews) consisting of a case study and behavioural interview Our average process takes around 3-4 weeks but we will always work around your availability. What’s in it for you: 💰£55,000 to £78,000 + Incentive Awards tied to your performance + Benefits ✅ 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 ➕ And much more, see our full list of benefits here #LI-LG1 #LI-Remote 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, 2024 Diversity and Inclusion Report and 2024 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 😊

• Execute a range of standard and ad hoc analytical projects using SQL, Python, Excel, and Power BI, applying structured problem-solving approaches to meet business needs with minimal guidance. • Research, hypothesize, and develop analytical approaches to identify, analyze, and interpret trends and patterns in complex datasets. • Translate analytical problem statements and data requirements into scalable analytical deliverables, including the development, automation, standardization, and maintenance of reports, dashboards, analyses, and supporting datasets. • Analyze and interpret data using a range of analytical techniques, including descriptive, diagnostic, and predictive methods. • Apply data validation, quality checks, and analytical best practices to ensure outputs are accurate, reproducible, and fit for purpose. • Design and deliver clear data visualizations and technical summaries that support effective data storytelling and interpretation. • Create technically accurate, executive ready presentations and slide decks that communicate analytical results, assumptions, limitations, and implications of findings. • Document and communicate analytical findings, assumptions, and limitations to technical and non-technical audiences as appropriate. • Partner with stakeholders and analytics teammates to clarify analytical objectives, validate assumptions, and deliver technically sound analytics solutions that support business decisions. • Contribute to the advancement of IMA’s data culture through collaboration, knowledge sharing, and effective use of analytics in decision-making.