At a Glance
- Tasks: Transform complex data into actionable insights to enhance customer experiences.
- Company: Join a leading global SaaS FinTech company driving digital innovation.
- Benefits: Competitive day rate, flexible hybrid work, and impactful role.
- Other info: High visibility role with opportunities for growth in a dynamic environment.
- Why this job: Shape data-driven strategies that improve customer outcomes on a global scale.
- Qualifications: Experience in data analysis, strong SQL skills, and excellent communication.
The predicted salary is between 60000 - 70000 £ per year.
Our client is a global SaaS technology company within the FinTech sector, operating across multiple international markets and delivering digital products at scale. They are seeking a Business Data Analyst to play a pivotal role in shaping data-led decision-making across customer experience, service delivery, and digital platforms.
This is a highly visible contract position for a business-driven analytics leader who can turn complex, fragmented datasets into clear, actionable insights that influence strategy and deliver measurable improvements at scale.
The Role
- As a Business Data Analyst, you will sit at the intersection of data, business strategy, and execution, partnering closely with Service Delivery, Digital Experience, Product, and Engineering teams.
- You’ll help define what “good” looks like, uncover performance gaps, and guide teams toward smarter, faster, and more cost-effective decisions that improve customer outcomes globally.
- You’ll be equally comfortable deep in the data and presenting executive-ready narratives that drive alignment and action.
Key Responsibilities
- Translate complex, multi-source data into clear insights that inform strategy and improve customer and digital experiences across international markets.
- Partner cross-functionally with Service Delivery, Product, Digital Experience, and Engineering teams to influence high-impact decisions.
- Identify root causes of performance issues, uncover inefficiencies, and recommend actions that reduce cost-to-serve while improving customer outcomes.
- Design, build, and evolve scalable measurement frameworks, KPIs, and dashboards that balance global consistency with local and regulatory nuances.
- Deliver compelling, executive-level storytelling, framing insights in simple, actionable narratives that accelerate decision-making.
- Support experimentation and continuous improvement by evaluating impact, measuring outcomes, and scaling successful initiatives globally.
- Contribute to the development of robust data foundations, enabling automation, experimentation, and advanced analytics.
What We’re Looking For
- Proven experience as a Senior Data Analyst (or equivalent) within a SaaS, FinTech, or technology-led environment.
- Strong commercial and operational acumen, with the ability to link data insights to real business levers.
- Advanced SQL skills and strong experience with BI and data visualisation tools.
- Experience working with large, complex datasets and modern data platforms.
- Solid understanding of statistical methods and analytical best practices.
- Python and/or AI capability is strongly preferred, particularly for automation, experimentation, or advanced analytics use cases.
- Exceptional communication skills, with the ability to influence senior stakeholders through clear, concise storytelling.
- Comfortable operating in fast-paced, cross-functional, and international environments.
Why This Contract
- Join a globally recognised FinTech SaaS organisation at a critical point of growth and transformation.
- High-impact role with visibility across multiple senior teams and markets.
- Opportunity to shape how data drives customer experience and digital performance at scale.
- Competitive day rate and flexible hybrid working model.
Business Data Analyst - Customer Success in Slough employer: RedCat Digital
Join a globally recognised FinTech SaaS organisation that champions innovation and data-driven decision-making. With a competitive day rate and a flexible hybrid working model, this role offers an exceptional opportunity to influence customer experience and digital performance across international markets. The company fosters a collaborative work culture, prioritising employee growth and development, making it an excellent employer for those seeking meaningful and impactful work.
StudySmarter Expert Advice🤫
We think this is how you could land Business Data Analyst - Customer Success in Slough
✨Tip Number 1
Network like a pro! Reach out to connections in the FinTech space, especially those who work at SaaS companies. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Prepare for interviews by practising your storytelling skills. You’ll need to present complex data insights clearly, so think of examples where you’ve turned data into actionable strategies that improved customer outcomes.
✨Tip Number 3
Show off your technical skills! Be ready to discuss your experience with SQL, BI tools, and any Python projects. We want to see how you’ve used these skills to solve real business problems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Business Data Analyst - Customer Success in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Business Data Analyst. Highlight your experience with data analysis, especially in SaaS or FinTech environments, and showcase your SQL and BI skills. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you're the perfect fit for this role. Share specific examples of how you've turned complex data into actionable insights and influenced business decisions. Keep it engaging and relevant to the job description!
Showcase Your Communication Skills:Since you'll be presenting insights to senior stakeholders, it's crucial to demonstrate your communication prowess. Use clear, concise language in your application and consider including a brief example of a successful presentation or report you've delivered.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates about your application status. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at RedCat Digital
✨Know Your Data Inside Out
As a Business Data Analyst, you'll be expected to dive deep into complex datasets. Make sure you brush up on your SQL skills and understand the data sources relevant to the role. Be prepared to discuss how you've turned data into actionable insights in previous roles.
✨Master the Art of Storytelling
This role requires you to present data in a way that influences decision-making. Practice framing your insights into clear, concise narratives. Think about how you can translate technical jargon into simple terms that resonate with stakeholders.
✨Showcase Your Cross-Functional Collaboration
You'll be working closely with various teams like Service Delivery and Product. Prepare examples of how you've successfully partnered with different departments in the past. Highlight your ability to influence decisions and drive improvements across teams.
✨Be Ready for Scenario-Based Questions
Expect questions that assess your problem-solving skills and analytical thinking. Prepare to discuss specific scenarios where you've identified performance gaps or inefficiencies. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
