Profile description:

This role sits inside a master data modernisation programme and is responsible for making sure data is clean, well-mapped, and ready to migrate to a new platform. The person in this role works across data quality, data migration preparation, functional testing, and end-user training. It is a hands-on contributor role — not advisory — requiring strong attention to detail and the ability to work across technical and non-technical stakeholders.

Developer profile:

• Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field

• 4 years of experience in a data management or data quality role

• Solid working knowledge of data analysis tools: Excel, Power BI, or Tableau

• Comfortable with SQL; Python or R is a plus

• Strong communication skills — this role requires active collaboration with both technical teams and domain owners (logistics, medical, or similar)

• Analytical mindset, independent problem-solver, detail-oriented

• Experience in cross-functional teams

• English required; French, Spanish, or Arabic is a significant asset

• Domain knowledge in medical or logistical areas is a strong plus

• Certifications in data analysis or project coordination are a plus

Technical requirements:

• Data quality assessment and documentation — identify, document, and fix consistency issues

• Data mapping — current-state to future-state across systems

• Data migration preparation and execution — structured, methodical approach

• Data dictionaries — review and complete documentation for existing and new systems

• Functional and UAT preparation and execution

• Training material development and delivery to end users

• Proficiency in at least one of: Excel (advanced), Power BI, Tableau

• SQL (required); Python or R (preferred)

PS: Candidates will be asked to walk through a real example of a data quality issue they identified and resolved, including the steps taken and tools used.