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.