Business Data Analyst - Placement Year

Updraft; Greater London; Hybrid; GBP 20,000 - 25,000; Full time

Job summary

A dynamic fintech company in London is seeking a Business Data Analyst to support data-driven decision-making and build foundational pieces of their data ecosystem. You will work with the Data Science team, providing insights around growth, credit risk, and collections. Candidates must be second-year university students with a strong problem-solving focus and some experience in Python and SQL. This role offers an opportunity to influence business growth in a rapidly evolving fintech environment.

Benefits

Mentorship and Support from an experienced team

Generous learning budgets and wellness benefits

Wellness benefits

Qualifications

• You have a good understanding of statistical/mathematical concepts.
• You feel comfortable exploring existing and new data sets.
• You're keen to learn and good to work with.

Responsibilities

• Support data driven decision making in the business.
• Provide analytical insight around core business problems.
• Design key metrics and dashboards that provide actionable insights.

Skills

Problem solving skills

Analytical mindset

Experience with Python

Experience with SQL

Exploration of data sets

Curiosity about data

Team collaboration

Education

2nd year university student

Tools

AWS

Google Cloud

Azure

Job description

Updraft. Helping you make changes that pay off.

Updraft is an award winning, FCA-authorised, high-growth fintech based in London. Our vision is to revolutionise the way people spend and think about money, by automating the day to day decisions involved in managing money and mainstream borrowings like credit cards, overdrafts and other loans.

• A 360 degree spending view across all your financial accounts (using Open banking)
• A free credit report with tips and guidance to help improve your credit score
• Native AI led personalised financial planning to help users manage money, pay off their debts and improve their credit scores.
• Intelligent lending products to help reduce cost of credit

We have built scale and are getting well recognised in the UK fintech ecosystem.

• 800k+ users of the mobile app that has helped users swap c £500 m of costly credit-card debt for smarter credit, putting hundreds of thousands on a path to better financial health
• The product is highly rated by our customers. We are rated 4.8 on Trustpilot, 4.8 on the Play Store, and 4.4 on the iOS Store.
• We are selected for Technation Future Fifty 2025 – a program that recognizes and supports successful and innovative scaleups to IPOs - 30% of UK unicorns have come out of this program.
• Updraft once again featured on the Sifted 100 UK startups - among only 25 companies to have made the list over both years 2024 and 2025.

We are looking for exceptional talent to join us on our next stage of growth with a compelling proposition -purpose you can feel, impact you can measure, and ownership you’ll actually hold. Expect a hybrid, London-hub culture where cross-functional squads tackle real-world problems with cutting-edge tech; generous learning budgets and wellness benefits; and the freedom to experiment, ship, and see your work reflected in customers’ financial freedom. At Updraft, you’ll help build a fairer credit system.

Role

We're looking for a Business Data Analyst to support data driven decision making in the business and build foundational pieces of our data ecosystem.

You’ll be providing analytical insight around core business problems, such as growth, credit risk and collections.

You’ll be designing key metrics and dashboards that provide actionable insight to the business, as part of a small team that works directly with senior management.

You’ll be part of our Data Science team, and work closely with the Product, Risk and Operation teams.

You’ll have direct impact to the growth of the business, interesting work, responsibility, and room to grow.

• Note: we are only accepting applications from 2nd year university students looking for placement year in the industry
• You have problem solving skills and an analytical mindset
• You have good understanding of statistical/mathematical concepts
• You have some experience of working with programming language such as Python and SQL
• You feel comfortable exploring existing and new data sets
• You are curious about the data and have a desire to ask "why?"
• You’re keen to learn and good to work with

It would be a bonus if

• You have an interest in startups and fintech
• You are interested in developing skills towards data science/engineering or credit risk
• You have experience with cloud services (AWS would be ideal, or Google, Azure etc)

• Being one of our first 50 employees
• Mentorship and Support from an experienced team