UK Business Intelligence Analyst- Travel & Expense

Job description

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. ### 🎯What Makes This Role Unique? - **Implementation & Client Management:** Lead client onboarding processes and manage data acquisition while overseeing ETL operations. - **Data-Driven Insights:** Analyze T&E data to identify trends and create custom reports that resonate with stakeholders. - **Agile Project Management:** Collaborate on sprint planning while managing timelines and project deliverables. - **Data Enthusiasts:** You possess a strong background in data analysis and business intelligence. - **Client-Focused Communicators:** Your experience includes engaging with senior stakeholders and building lasting relationships. - **Analytical Problem Solvers:** You thrive on synthesizing complex data sets into actionable insights. ### 🛠️What You’ll Work On: - **Client Implementation Success:** Guide clients through each step of the implementation process while ensuring their needs are met. - **Innovate Reporting Solutions:** Design and deploy dashboards that provide clarity across various levels of the organization. - **Continuous Improvement:** Identify opportunities for process enhancements within the PredictX modules. ### 💫Our Culture: - **Freedom to Innovate:** We encourage experimentation and learning. - **Supportive Environment:** Failure is seen as a stepping stone to success. - **Direct Impact:** Your contributions will shape our product direction and company strategy ### 📈Growth & Development: - **Comprehensive Training:** Gain skills essential for excelling in business intelligence. - **Lead Innovative Projects:** Take charge of initiatives that push boundaries. - **Clear Career Path:** Opportunities to evolve into senior roles within business intelligence. ### 🧠 Ideal Candidate - Detail-oriented and methodical: Able to spot inconsistencies in financial data and ensure accuracy in audits and reporting. - Curious and analytical: Naturally inquisitive, with a desire to understand patterns and anomalies in data. - Tech-savvy and adaptable: Comfortable working with AI tools, data platforms, and evolving technologies in a fast-paced environment. - Collaborative and communicative: Works well within a team, shares insights, and supports cross-functional goals. - Self-motivated and eager to learn: Open to feedback, keen to grow, and excited by the opportunity to shape their career in data analytics. - Ethical and discreet: Understands the importance of data integrity and confidentiality, especially when handling client financial information.