Responsibilities

• Monitoring data loads and follow up for end of month and daily deliveries
• Provide support for data delivery and data availability questions
• Run and maintain existing SQL or SAS monitoring solutions in case of changes
• Develop solutions in SQL/SAS for monitoring, as needed
• Distribute production data files for support initiatives
• Coordinate and facilitate test cycle for data delivery changes
• Provide advice on flow set up, cross reference set-up and static data maintenance procedures for new data delivery
• Test delivered information on completeness and accuracy
• Provide support for data delivery change management questions
• Collect source data and approval from local sources
• Generate data extracts using MS Excel, Macros and Access
• Perform sanity checks on the collected data
• Analyse the trends in the data for quality improvements
• Work with colleagues in Amsterdam to overcome the current data quality issues and align on remediation of spotted quality issues
• Coordinate and communicate with local units on next steps for improvements
• Continuously improve the way you work and strive to work as part of a high-performing team and contribute to the company

Qualifications

• College degree in e.g. Mathematics, Informatics, Econometrics, Computer/Data Science, Information Management or Statistics
• Proven experience in using SQL, SAS Base and/or SAS Enterprise Guide
• Knowledgeable in data management, extraction, analysis and report creation using SQL, SAS, MS Excel or MS Access.
• Knowledge and working experience on risk concepts, policies and the financial sector in general is desirable
• You have integral, cross-domain knowledge and experience
• Experienced in relevant tooling such as PowerBI, Tableau, R, SQL is a plus
• Fluent in English (written and verbal)
• Comfortable to communicate and liaise with senior business users and stakeholders
• Service-minded attitude with a passion to help others
• Ability to clearly communicate your analyses, ideas, results and thoughts is essential
• Pro-active and learning attitude and strive to continuously improve
• Affinity with technology in general and being able to quickly learn new tools is helpful
• Driven expert with passion for data management or data operations and with strong analytical capabilities who uses state-of-the-art methods and techniques for data analysis.
• Has integral, domain-exceeding knowledge on Data Analysis in one or more areas of the Risk and Finance business.
• Excellent communicator and able to build bridges between different stakeholders.
• Can convincingly put forward your proposals and are a real team player in reaching broad agreement on the road to follow.