Data Analyst

Division 

Internal Audit provides independent assurance and insight, globally and locally, on Governance, Risk Management, and Internal Control, to support the Board and senior management in achieving their objectives. We add value to the Company by promoting a strong control culture and by initiating and agreeing improvements and action plans. We report to senior management, the Management Committee, and the Audit Committee. We are a team of about 60 professionals based in Poland, Brussels, London, Amsterdam, and Paris, and our activities cover the entire Euroclear group. 

This opportunity will particularly appeal to candidates who want to combine strong technical expertise with broader business acumen and grow their career in Internal Audit by applying data analytics, automation, citizen development, and practical AI use cases in a high-value control environment. 

Role 

As a Data Analyst in Internal Audit, you will apply data analytics, automation, innovation, and practical artificial intelligence techniques to generate insights and value for audits. You will be part of the Internal Audit data team and will work closely with auditors across business domains and locations throughout the group. 

Beyond audit analytics, you will help identify and implement practical opportunities to improve the efficiency and effectiveness of the division by exploring new technologies, supporting automation initiatives, and contributing as a citizen developer and citizen AI developer within the Internal Audit context. 

Your objective 

In this role, you will: 

• Lead or contribute to the preparation and execution of data-driven testing strategies for assigned audits, including analysing and understanding audited business processes and their supporting data. 

• Lead or contribute to identifying and delivering opportunities in automation, innovation, and artificial intelligence that enhance audit insight, efficiency, and quality, in a way that is compatible with the Internal Audit function. 

• Build effective relationships and establish proactive interactions with auditors, business managers, data suppliers, IT specialists, and other data analysts across the company. 

• Propose ideas and contribute to initiatives that improve the functioning and productivity of the division by leveraging data, automation, citizen development, and AI-enabled solutions. 

• Continuously learn, assess, and apply new technologies pragmatically for the benefit of the division. 

We offer