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Stream is hiring a Senior Business Analyst in London with a hybrid schedule. You will diagnose critical business problems, build dashboards, and partner with leaders to shape strategy using data-driven insights.
Ideal candidates are highly analytical, proficient in Excel/SQL (Python welcome), and excel at translating ambiguous needs into structured data solutions. You’ll join a 300+ team across Europe and the USA, contributing to neobank ambitions.
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.
At Stream we celebrate and support our differences. We know that a team rich in diverse thoughts, experiences and opinions allows our employees, our product and our community to flourish. Stream is an equal opportunity workplace. We are dedicated to equal employment opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, or veteran status.