Senior Business Analyst

Starting from £75,000 to £110,000 with Options & Benefits

Hybrid working:
You’ll need to be able to work from our London office for three days a week, blended with remote working.

Stream was founded with the mission to provide fair financial tools to the everyday worker. Offered through destination employers like Greene King, Bupa, Burger King, Asda and the NHS, our award-winning platform helps over three million people to earn, learn, save, spend and borrow on their own terms, all in one smartphone app.

Stream is unique: VC backed and growing at scale, but with a social conscience. Some of the world's leading impact funds were our founding investors, and we operate on a social charter, which means every product and service we create must measurably improve financial wellbeing.

You’d be joining a team of over 300 passionate, ambitious people across Europe and the USA, building a category-defining product, and united by that same mission.

We’re seeking a Senior Business Analyst for a pivotal role in one of the fastest growing scale-ups in Europe, as we head for neobank status. As part of this role, you will be working with the leaders of our most important businesses to diagnose, understand and solve their most critical problems.

If you are motivated, highly analytical and love using data insights to drive real business strategy, this is a perfect opportunity to join a growing team early in the product lifetime.

Work with business leaders to identify their most important problems. Example:
How can we improve front-line worker adoption in a specific sector?

Create bespoke analysis, dashboards and frameworks to help shape and define the solutions to these problems and shape the future business strategy.

Discover insights from data and formulate strategies to answer the big questions and address key business questions.

Work with data engineering to design and build data models for your domain.

Collaborate with cross-functional teams to implement your strategies in the market effectively.

Build and implement RCTs to test and refine hypotheses. Example:
In what order should customers be introduced to products?

Contribute to central Data initiatives (quality, lineage, forecasting, AI insights).

Monitor and assess the success of implemented strategies, and continuously identify further opportunities for enhancement.

• Ability to understand and work with numbers effectively.
• Proficiency in analytical tools like Excel and SQL (Python is welcome).
• Inquisitive and truth-seeking attitude, with an inclination to challenge the status quo.
• Excellent communication skills and ability to collaborate effectively in a cross-functional environment.
• Experience working with business leaders and translating ambiguous needs into structured data solutions.

• Applied AI – work alongside the Data team on conversation insight, forecasting, and other AI/ML initiatives that directly impact customer outcomes.
• Domain knowledge – from B2B sales to product management to consumer marketing, you’ll gain exposure to the inner workings of Ops in a fast-scaling fintech.
• Fintech industry expertise – learn how data underpins compliance, client reporting, and product adoption in a sector shaping the future of financial wellbeing.