As a Data Analyst within the Asset Finance EPT (Empowered Product Team) you will play a key role in enabling a data-driven Originate-to-Distribute (OtD) business. Based in The Hague, you will support our Asset Finance professionals by ensuring that data is accurate, reliable, and translated into meaningful insights for both internal stakeholders and external investors. In this role, you will work at the intersection of business, data, and technology, contributing directly to the quality of our reporting, the robustness of our data chain, and the continuous improvement of our Asset Finance processes. Work is hybrid and the official location for this job is The Hague.
Responsibilities
- You will conduct data analysis and delivery and support the functional support team’s day-to-day operations, including frequent meetings with users. Other responsibilities include:
- Managing the applications.
- Working towards team goals and supporting everyday processes and testing for colleagues in your Asset Finance team EPT.
- Driving continuous improvements and process automation.
- Executing Security Operations tasks to ensure that processes and applications are securely managed and in control.
Qualifications
- Experience with data analysis (SQL, Excel, Power BI or similar tools).
- Strong logical thinking and problem-solving skills, with the ability to break down complex issues into manageable components.
- Affinity with financial data (e.g. loans, portfolios, cashflows).
- A structured and methodical approach to analyzing data and identifying root causes.
- Ability to communicate insights clearly to both technical and business stakeholders.
- A proactive mindset with a focus on continuous improvement.
- Fluent in English, Dutch is a preference.
Please note that for this role you need to be already situated in the Netherlands.
For more information, please contact Ritsa ([email protected]).
Key Skills
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- Posted
- Jun 15, 2026
- Type
- Full-time
- Level
- Mid-Senior
- Location
- The Hague
- Company
- Experis Nederland
Industries
Categories
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