Data Quality Specialist (M/F/X)
Manpower is looking for a Data Quality Specialist for one of its clients operating in the European financial sector, based in Luxembourg, for a temporary assignment.
Your missions:
- Ensure the consistent application of data quality standards and checklists across internal and external stakeholders
- Monitor the quality, consistency, and reliability of data used for risk modelling, portfolio monitoring, and reporting activities
- Develop and maintain automated solutions to transform Excel and XML files into structured, validated, and auditable datasets
- Test and validate AI-driven solutions designed to automate data quality controls and validation processes
- Assess AI-generated outputs, identify discrepancies, and contribute to the continuous improvement of AI tools
- Apply data transformation and treatment rules to historical datasets to improve consistency and comparability over time
- Perform data cleansing, reconciliation, standardisation, and enrichment activities
- Document data transformations, business rules, quality controls, and validation procedures to ensure transparency and traceability
- Analyse data quality trends and recurring issues, and recommend corrective actions and process improvements
- Develop dashboards, monitoring tools, and analytical reports to support decision-making
- Collaborate closely with Risk, Data, IT teams, the European Commission, and external partners to strengthen data governance practices
- Contribute to the implementation of a reliable and auditable data repository supporting modelling, monitoring, and reporting activities
Your profile:
- University degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or another quantitative discipline
- Minimum 3 years of professional experience in data analytics, data quality, data governance, data engineering, or data management
- Proven experience in data transformation, validation, cleansing, and quality assurance activities
- Strong proficiency in SQL and Python is required
- Knowledge of Power BI, XML processing, advanced Excel, R, or SAS would be considered an asset
- Exposure to artificial intelligence technologies, AI testing, or validation of automated solutions is considered an advantage
- Experience working with large and complex datasets within a financial, banking, or risk management environment is a plus
- Ability to collaborate with multiple stakeholders and translate business requirements into data-driven solutions
- Strong analytical and problem-solving skills with excellent attention to detail
- Organised, autonomous, and results-oriented mindset
- Excellent command of English and/or French with a good knowledge of the other language; additional EU languages are considered an asset
Please note that this assignment may be extended, in accordance with Luxembourgish law, for a maximum duration of one year.
Interested in this opportunity? Apply now!
Read more