Data Officer – Business Application Support

mission

Your mission is to oversee, enhance, and implement the management, protection, and use of data across EFG's Business Application Support domains, ensuring consistent quality, privacy, and compliance standards for international operations, with a strong focus on business applications and user service.

Key Responsibilities

• Serve as a key liaison between the business and IT, gathering, analyzing, and defining business data requirements and translating them into executable technical specifications.
• Translate business requirements into clear, reliable, and reusable data solutions to avoid duplication, inconsistencies, and inefficiencies across processes and applications.
• Support data extraction, transformation, and loading (ETL) processes to provide reliable, consistent, and well-documented datasets to business users.
• Contribute to the definition and implementation of data governance policies and data quality controls (including the GDPR and other applicable regulations).
• Actively support digital transformation initiatives by enabling trusted, well-structured, and continuously improved data flows within supported applications.
• Monitor key performance indicators (KPIs) related to data freshness, integrity, and availability.
• Collect, analyze, and challenge business requirements through structured business analysis.
• Understand business processes and data usage in order to streamline them and translate them into actionable technical specifications documented in a clear and structured manner.
• Design and support data architecture, data flows, and process models that ensure traceability.
• Write and optimize SQL queries for reporting, analysis, data loading, and validation.
• Write and optimize SQL statements to support data loads, transformations, integrity checks, and performance tuning as needed.
• Monitor, control, and continuously improve metrics related to data quality, consistency, and integrity.
• Proactively identify potential issues or risks in data pipelines, transformation logic, or access controls, and report them to the relevant teams, implementing corrective actions where possible.
• Follow established data backup and recovery procedures, ensuring that regular backup and disaster recovery plans are tested and maintained to guarantee data availability in the event of incidents.
• Contribute to documenting and refining data governance standards, data models, and technical documentation to ensure the clarity, consistency, and long-term maintainability of data solutions.
• Ensure compliance with data protection, privacy, and internal control requirements, in close collaboration with the Compliance and IT security teams.
• Provide a high level of service to users, balancing responsiveness to day-to-day requests with a focus on long-term, sustainable data solutions.
• Work closely with IT, Compliance, and business units to support production stability, change management, and continuous improvement initiatives.

Success Metrics

• Business requirements are clearly identified, understood, and translated into effective, scalable solutions.
• Smooth and reliable operation of ETL processes is supported in every iteration and application.
• Reduced incident and rework rates, minimizing redundancy and manual work while ensuring exceptional stability in supported applications.
• Prompt, reliable, and high-performance data extraction and ETL processes in production.
• High levels of data quality, integrity, and user satisfaction, as measured through feedback and audits.
• Full compliance with relevant data protection and regulatory requirements.
• Positive feedback and strong collaboration with business users and key stakeholders.

Required Skills

• A bachelor's or master's degree in data science, information management, computer science, or a related field.
• Proven experience in data governance, data management, and data quality, or data support in a financial services environment (banking, insurance, asset management, or similar).
• Strong business analysis skills, with the ability to engage business users, challenge requirements, and facilitate structured analysis approaches.
• Solid experience in data extraction, ETL, and processes, as well as SQL.
• Ability to understand business needs and to rationalize and align requirements across teams and regions.
• Strong knowledge of data protection regulations (GDPR, etc.) and industry best practices.
• Proficiency with data management tools and platforms (SQL, data warehouses,