Regulatory Data Analyst

As a recruitment company, DCG understands that every business is powered by experienced professionals. Our management style and partnership approach enable us to meet your needs and provide continuous support. Due to our ongoing growth and the large number of recruitment projects we undertake for our partners, we are currently looking for: Regulatory Data Analyst
Requirements:
Strong experience in data analysis, data management or business analysis Experience working with regulatory frameworks (preferably DORA, EBA, ICT risk) Solid understanding of contractual data / sourcing / third-party risk management is an advantage Proven ability in stakeholder management across multiple functions and seniority levels High attention to detail, accuracy, and compliance requirements Proficiency in tools such as Excel, data visualisation tools, or data platforms Strong analytical thinking and ability to translate regulatory requirements into data structures Experience in process design, documentation, and governance frameworks is a plus Structured, analytical, and quality-focused mindset Strong ownership and accountability Proactive communicator with stakeholder-driven approach Comfortable working in complex regulatory environments Able to balance project delivery and operational excellence Very good command of English, both spoken and written Nice to have: Practical experience with SQL and Power BI
Must have: Data analytics, Data migration, DORA, EBA, ICT Risk, Contractual data, Sourcing, Stakeholder management, Attention to detail, Analytical skills, Excel, Data platform, Communication skills
Nice to have: risk management, Governance framework, SQL, Power BI
Daily tasks: - Analyze data across multiple internal systems and sources, including sourcing, contracts, and ICT services
– Support the design, validation, and reconciliation of data structures required for DORA ROI reporting
– Coordinate with sourcing, risk, IT, and legal stakeholders to ensure data completeness and alignment
– Drive regulatory deliverables in line with DORA requirements and internal governance standards
– Identify data gaps, inconsistencies, and risks, and propose mitigation actions
– Contribute to process definition and documentation for ROI data collection and maintenance
– Act as data owner and data quality lead for key ROI data during BAU operations
– Monitor and improve data quality, completeness, and accuracy
– Establish and maintain data governance frameworks, controls, and KPIs
– Coordinate sustainable data maintenance processes with business stakeholders
– Support regulatory reporting activities and audits related to DORA
– Drive continuous improvements across data processes and tooling