UK Business Intelligence Analyst- Travel & Expense

🎯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.