Data Analyst
We’re on a mission to back the UK’s small businesses like no one else
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Small businesses are the backbone of the economy, and we’re here to help them win. We’ve built a platform that uses clever data to get them the funding they need in minutes, not weeks.
At Funding Circle, we have the restless energy of a fintech start\-up with the stability of a public company. It’s a unique mix that gives Circlers the autonomy to take ownership and the scale to make an impact that truly counts.
We’re a high\-performing team that chooses to lift each other up. We challenge, we champion, and we have each other’s backs \- because we know that when we stand together, we move faster and build better.
The impact is real: Last year alone, the businesses on our platform generated £7\.2bn for the UK economy Come and join a mission that matters!
\[Read our Impact Report] \| \[See our Trustpilot]
The role
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London (Hybrid) \| 3 days in the office \| Competitive Salary \+ Benefits
This role sits within the Second Line Credit Strategy team. We provide independent oversight of credit risk models, strategies, and the data assets that underpin them. You will own a critical piece of our data infrastructure and play a hands\-on role in making sure the team can do its best analytical work.
- The primary steward of the modelled datasets the Credit Risk team relies on daily: maintaining field logic, monitoring data quality, and ensuring the data as well as the dictionary remains accurate and fit for purpose.
- Creating new tables and pipelines as the team’s analytical needs evolve, working to a high standard of code quality and documentation.
- Proactively identify anomalies, breaks, and drift in the datamart, and investigate root causes before they affect downstream users.
- Be the go\-to person for data questions from analysts and model validators, and will maintain clear documentation so others can self\-serve confidently.
- Working closely with the central Data to align on tooling, infrastructure, and best practice, and promote those to the Credit Risk Team.
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We value deep expertise, but a growth mindset and good energy are what really make our team click. We’re a group that chooses to lift each other up and think smart every day.
- A degree from a numerical or data\-related subject, such as Mathematics, Computer Science, Engineering, Physics, or Data Science
- 1–2 years of work experience, or a recent graduate with demonstrably strong data skills
- Proficient in SQL, familiar with Github, and confident using Tableau to build and maintain dashboards
- Comfortable working independently on ambiguous, open\-ended data problems with a methodical and detail\-oriented approach
- A clear communicator, able to document logic and flag data issues in plain language for both technical and non\-technical colleagues
- Familiarity with Python, dbt, Airflow, or AWS is a plus, so is MS Office in a professional setting
- Able to take ownership of redesigning departmental workflows, using AI to automate complex tasks and drive operational efficiency
- Competently able to Identify high\-impact AI use cases and implement advanced prompting techniques to solve multi\-layered business challenges
Why join us?
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We back you to build an incredible career and by joining us, you'll be part of one of The Sunday Times Best Companies to Work For 2026! As a flexible\-first employer, we use a "best of both" approach. We’ll see you in our London office to collaborate – with barista coffee and subsidised Just Eat lunches on us!
Our Circler Proposition focuses on five areas:
- Flexibility: We provide a benefit allowance you can tailor to your own life and family.
- Health: This includes private medical and dental, health assessments, and access to a digital GP.
- Wealth: We offer life assurance, share schemes, and financial coaching.
- Development: You get a dedicated annual learning allowance to help you level up.
- Lifestyle: We have electric car and cycle\-to\-work schemes, plus season ticket loans.
Ready to join a mission that matters? We’d love to chat!
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