UK Business Intelligence Analyst- Travel & Expense (copy)

Make a real difference at one of London’s foremost SaaS scale-ups:
Be ready to pioneer the future of AI, data analytics, and technology. Step into PredictX, where we don't just see AI as a fashionable bandwagon to hop on but have lived and breathed AI & ML in every aspect of our product for the past decade.
As an Enterprise SaaS provider, we're revolutionising critical decision-making for many of the world’s largest businesses, including three FAANGs, seeking empowerment through our integrative AI technology and Predictive Analytics.
🚀 Join the AI Revolution at PredictX!
Are you passionate about transforming Travel & Expense management?
As our Business Intelligence Analyst for Travel & Expense, you'll be at the forefront of optimising our global T&E program. You'll play a pivotal role in onboarding clients to the PredictX platform while supporting their ongoing success with your technical expertise.
🧩 Who will Thrives in This Role
This role is ideal for someone who is naturally detail-oriented, curious, and analytical. You’ll thrive here if you enjoy working with numbers, spotting patterns, and ensuring data accuracy. A tech-savvy mindset and willingness to learn are key, as is the ability to collaborate across teams and communicate clearly. Integrity and discretion are essential when handling sensitive financial data, and a proactive, self-motivated approach will set you up for success in our fast-paced, innovation-driven environment.
🌟 Why PredictX?
Innovation is Our DNA: We invest 50% of our revenue into R&D, driving advancements in business intelligence that empower our clients.
Pioneering the Future: Join us in crafting impactful reports and dashboards that unveil hidden trends and drive cost efficiency.
🌟The Role
As a Business Intelligence Analyst for Travel & Expense, you will lead consultative implementations of the PredictX product, ensuring clients are seamlessly onboarded and supported throughout their journey. Your analytical prowess will allow you to uncover insights from T&E data that enhance user experience and compliance.

Employment type
Full-time

Work arrangement
No