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Data Quality Specialist (M/F/X)

Manpower Luxembourg S.A.Luxembourg🇱🇺Luxembourg

Quick overview

SeniorityMid Senior
Employment typeFull Time
Work modeHybrid
LocationLuxembourg, Luxembourg
SQLMicrosoft ExcelContinuous ImprovementPythonReconciliationRisk ManagementPower BIData Analysis

Job description

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!


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