Data Officer – Business Application Support

Job Description

• As a Data Officer within the Business Application Support function at EFG, you will play a pivotal role in shaping, managing, and ensuring the quality of data assets critical to the bank’s operations. With proven experience in data management expertise with business analysis skills, you will structure, govern, and secure data integrity, accessibility, and regulatory compliance. This role offers the opportunity to contribute to high-impact data initiatives in a global, client-centric private banking environment.

Mission

• Your mission is to oversee, enhance, and operationalize the management, protection, and value realization of EFG’s core data assets. You will play a key role in defining and ensuring data governance frameworks, continuity of service, stability of data-related processes, change management, data duplication reduction efforts, and the continuous creation of data across EFG’s technology and business platforms that meet all regulatory, quality, and compliance standards.
• Act as a key interface between business and IT, gathering, analyzing, and formalizing requirements.
• Ensure continuity of service, stability of data-related processes, and responsiveness to business and maintenance needs within the application support landscape.
• Translate business demands into clear, relationalized, and resilient data solutions that proactively mitigate the risk of data loss through duplication and improve efficiency.
• Support data annotation, transformation, and loading (ETL) processes to deliver resilient, responsive, and well-documented datasets.
• Contribute to the definition and implementation of data governance policies, data quality procedures, and associated controls, and regulatory compliance programs, ensuring consistent operational readiness and accessibility of data.

Key Responsibilities

• Collect, analyze, and challenge business requirements to structure an effective business analysis strategy.
• Understand business processes and engage stakeholders and IT to streamline and support data extraction and ETL processes, ensuring data accuracy, traceability, and documentation.
• Write and optimize SQL queries for reporting, analysis, and operational data delivery.
• Monitor, control, and continuously improve data quality, consistency, and integrity across systems and processes.
• Contribute to, document, and enforce data governance standards, data models, and workflows.
• Ensure compliance with data protection, privacy, and internal data requirements to manage compliance Risk.
• Provide a high level of service to users, balancing responsiveness to day-to-day requests with longer-term strategic improvement initiatives.
• Collaborate closely with IT, Compliance, and business units to support production stability and to influence the management and protection of business data requirements.

Success Metrics

• Business requirements clearly captured, understood, and translated into effective data structures.
• Smooth and reliable creation of data-related servicing platforms for user interaction.
• Rationalized and consistent data assets, reducing redundancy and manual work.
• Robust, reliable, and performance data extraction and ETL processes in production.
• High levels of data quality, integrity, and user satisfaction, measured through feedback and incident reports.
• Full compliance with data protection and regulatory requirements.
• Positive feedback and strong collaboration with business users and key stakeholders.
• Analysis and integration with non-banking data applications.
• Familiarity with application support or IT service management (e.g., ITIL principles).
• Professional certifications such as CDMP (CBP) or similar.
• Fluency in additional languages (especially French or German).

Required Skills

• Bachelor’s or Master’s degree in Data Science, Information Management, Computer Science, or a related field.
• Proven experience in data governance, data management, data quality, or data support roles with a minimum of 5 years.
• Experience in data extraction, ETL processes, and SQL.
• Strong business analysis skills, with the ability to engage business users, challenge requirements, and prioritize initiatives.
• Solid understanding of business demands to rationalize, mutualize requirements and define necessary policies.
• Strong knowledge of data protection regulations (GDPR, etc.) and industry best practices.
• Proficiency with data management tools and platforms (ETL databases, data catalogs, data visualization, etc.).
• Strong