UK Business Intelligence Analyst- Travel & Expense
Summary
PredictX, a London-based enterprise SaaS scale-up, is hiring a Business Intelligence Analyst for its Travel & Expense platform. The role leads consultative client onboarding and implementations, manages data acquisition and ETL operations, analyzes T&E data, and builds dashboards and custom reports while collaborating on agile sprint planning.
🎯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.