At a Glance
- Tasks: Build and own high-quality data models to drive insights and decision-making.
- Company: Join Funding Circle, a fintech leader supporting UK small businesses.
- Benefits: Flexible work, competitive salary, health perks, and a dedicated learning allowance.
- Other info: Be part of a supportive team culture with excellent career growth opportunities.
- Why this job: Make a real impact in a mission-driven company while developing your analytics skills.
- Qualifications: Strong SQL skills and experience with DBT and data modelling.
The predicted salary is between 58500 - 71500 £ per year.
We’re on a mission to back the UK’s small businesses like no one else. 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.
The role is based in London (Hybrid) with 2 days in the office and offers a competitive salary plus benefits. Data is core to our mission at Funding Circle to build a better financial world as well as being our key asset that everyone across the organisation has a part to play in making sure that we look after it, allowing us to better support our customers. Our central data team lives in our Tech org and reports to the VP of Data. In order to strengthen our data maturity and become truly data driven we are committed to:
- Building a strong data culture where data is treated as an asset
- Empowering our Circlers to become highly data fluent and confident self-serve users
- Enhancing our world-class data platform
- Creating data products across all domains
- Transforming our business with ML & AI
We’re looking for an Analytics Engineer to join our team and help shape the data foundations for high growth areas of Funding Circle. We have opportunities across multiple teams, each tackling unique challenges and building high impact data models to power critical reporting and self-serve analytics. This is a unique opportunity to help build a top tier Analytics Engineering function, with the full backing of the business. We’re investing heavily in the people, tools, and technology needed to make it happen - and giving you the chance to play a key role in shaping its future.
Your responsibilities will include:
- Building and owning high quality dbt models, ensuring they are performant, well documented and thoroughly tested
- Collaborating with Analysts and Data Scientists to understand their needs and build models that drive insights and decision making
- Champion best practices for data modelling, transformation, and governance, in your immediate team and across the business
- Consult on our evolving data platform, advising on the tooling, infrastructure and practices needed to enable best-in-class Analytics Engineering
What we’re looking for:
- Strong SQL skills, with experience writing efficient and well structured queries
- Hands on experience with DBT, building and maintaining modular, scalable data models that follow best practices
- Strong understanding of dimensional modelling
- Familiarity with AWS data services (S3, Athena, Glue)
- Experience with Airflow for scheduling and orchestrating workflows
- Experience working with data lakes or modern data warehouses (Snowflake, Redshift, BigQuery)
- A pragmatic problem solver who can balance technical excellence with business needs
- Able to architect custom AI solutions and smart automated systems that are safe, maintainable, and aligned with our long-term mission
- Act as a technical bridge and mentor, training “builders
Analytics Engineer in London employer: Fundingcircle
At Funding Circle, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration in the heart of London. Our commitment to employee growth is evident through our comprehensive training programmes and opportunities for advancement, ensuring that you can thrive in your role as a VP of Data & Analytics. Join us to be part of a forward-thinking team that values your contributions and empowers you to drive meaningful change in the world of finance.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer in London
✨Get Involved in Data Science Meetups
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✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Analytics Engineer at Fundingcircle.
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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 Fundingcircle.
✨Apply Directly through Our Website
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We think you need these skills to ace Analytics Engineer in London
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 Fundingcircle, 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 Fundingcircle. 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 Fundingcircle
✨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 Fundingcircle!
✨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.
