At a Glance
- Tasks: Analyse data to solve critical business problems and shape future strategies.
- Company: Join a fast-growing fintech with a mission for financial wellbeing.
- Benefits: Generous leave, flexible working, private healthcare, and unique salary sacrifice schemes.
- Other info: Diverse team culture with opportunities for personal and professional growth.
- Why this job: Make a real impact in a pivotal role at a category-defining company.
- Qualifications: Strong analytical skills, proficiency in Excel and SQL, and excellent communication.
The predicted salary is between 75000 - 110000 £ per year.
Data London Office Hybrid Compensation
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.
About Stream
About Stream 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.
The Opportunity
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.
What will you be doing?
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.
- What experience might you have? (But if you’re close… we'd still love to talk to you!)
- 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.
What success looks like
1 month
- Taken ownership of key dashboards, building familiarity with our business and strategic priorities.
- Delivered improvements to existing analysis to demonstrate quick impact.
- Established yourself as the go‑to data partner for leaders, helping triage and prioritise requests into a structured backlog.
3 months
- Improved business performance and understanding with your recommendations and frameworks.
- Partnered with leadership to define and document clear KPIs, turning ambiguous needs into standardised, trusted metrics.
6 months
- Fully embedded as part of the team, shaping the roadmap for business improvements and surfacing insights that influence strategy.
- Extended our capabilities and your influence across the business.
- What we’ll do for you
- 25 days' annual leave in addition to public holidays (up to 5 days' rollover), plus flexible time off for ad‑hoc childcare, family or caring needs
- 24 weeks' paid maternity leave and 4 weeks' paid paternity leave for employees with over 12 months' service
- Special leave for In Vitro Fertilisation (IVF) and other fertility treatments
- Sabbatical scheme
- Paid leave to volunteer
- Private healthcare, including comprehensive mental and physical healthcare
- Salary sacrifice to pension, plus bonus exchange to pension: get more from any bonus by paying it into your pension and saving on tax and NI, with added compound growth
- Season ticket loan
- Access to salary sacrifice schemes via Thanks Ben, the benefits marketplace.
- Choose the benefits you want, when you want, pay less tax and get more value, including workplace nurseries, Cycle to Work, and a Home and Tech scheme
• The best benefit of all: access to Stream!
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.
Senior Business Analyst employer: Wagestream
Stream is an exceptional employer, offering a dynamic work environment in London where you can make a meaningful impact on financial wellbeing. With a strong focus on employee growth, our hybrid working policy, generous leave options, and comprehensive benefits package, we empower our team to thrive both personally and professionally. Join us in shaping a socially responsible future while enjoying the unique advantages of working with passionate colleagues dedicated to innovation and positive change.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Business Analyst
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Wagestream!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Senior Business Analyst
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Wagestream, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Wagestream
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Wagestream’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
