Data Analyst

About the position

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. Monzo Group is a leading financial technology company, with over 9 million customers in the UK, committed to providing modern banking solutions. In the last few years, we've built a banking app that our customers love - with extremely high daily engagement, an industry leading net promoter score, and award-winning customer support. We've raised over $1 billion from Capital G, Google's growth fund, Ribbit Capital, TenCent, YCombinator, Stripe, Coatue, Eric Schmidt, Mike Moritz, and others - most recently at a $5 billion valuation. We're just getting started in the US. We're an agile full stack team operating like an early stage startup but with the financial, operational, and engineering platform muscle of a larger company. We're focused on building an amazing US product, shipping and iterating quickly, and deepening our product market fit. We're looking for highly driven, enterprising people to help us achieve our mission to make money work for everyone.

Responsibilities

• Proactively analyzing business performance by identifying trends, behaviors, and patterns across key metrics.
• Developing self-serve analytics by building intuitive dashboards and reports that help teams access the data they need.
• Supporting decision-making with ad-hoc analysis, deep dives, and strategic recommendations.
• Optimizing data accessibility by improving data pipelines, maintaining data quality, and ensuring accuracy.
• Automating and scaling reporting to reduce manual effort and enhance speed-to-insight.
• Collaborating cross-functionally with teams such as Product, Operations, Risk, and Marketing to drive data-led initiatives.

Requirements

• Demonstrated a business-first mindset at multiple companies, ability to frame problem statements from commercial, customer, and operational perspectives.
• Strong proficiency in SQL and experience working with large datasets in cloud-based data warehouses (BigQuery, Snowflake, Redshift, etc.).
• Experience with data visualization tools (e.g., Looker, Tableau, Power BI) to create self-serve dashboards.
• Comfortable with data modeling and designing efficient, scalable analytics solutions.
• A proactive, curious approach-someone who doesn't just answer questions but finds the ones worth asking.
• Ability to communicate complex data in a clear, actionable way for non-technical stakeholders.

Nice-to-haves

• Experience working in fintech, banking, or regulated industries.

Benefits

• $135,000-175,000 + Equity
• Learning budget of $1,500 a year for books, training courses and conferences
• Generous 401k with 4% employer match