📊 Data Support Officer 🚀

🌍 About the Role

Join a dynamic international team and play a key role in managing and improving critical product and supply data systems 🧠. You will ensure the quality, consistency, and reliability of data, enabling effective collaboration across teams and supporting operational decision-making 🌐.

As part of a major transformation project 🛠️, you will contribute to the modernization of the data ecosystem, including platform migration, data structure improvements, and workflow optimization.

🎯 Key Objectives

• ✅ Improve data quality and consistency across systems

• 🔄 Support data migration to a new environment

• 🧪 Participate in functional and user testing

• 🎓 Provide training & guidance to end users

🧩 Main Responsibilities

• 📝 Define and document data quality rules & standards

• 📊 Monitor and report on data quality metrics

• 🤝 Collaborate with data owners and business stakeholders

• 📚 Maintain and enrich data dictionaries

• 🔀 Map data from current systems to future architecture

• 🚚 Prepare and support data migration activities

• 📖 Create user guides & training materials

• 🎤 Deliver training sessions to end users

👤 Ideal Profile

• 🎓 Bachelor’s degree in Computer Science, Data, or related field

• 📊 1–2 years experience in data management or data support roles

• 🧠 Strong analytical mindset & attention to detail

• 💬 Excellent communication & stakeholder management skills

• 🛠️ Autonomous with strong problem-solving abilities

• 🤝 Experience working in cross-functional teams

🌟 Nice to Have

• 🏥 Exposure to medical, supply chain, or logistics domains

• 🏅 Certifications in data analysis or project coordination

• 🌍 Experience in international or NGO environments

• 🗣️ Languages:

  • 🇬🇧 English (mandatory)

  • 🇫🇷 🇪🇸 🇸🇦 French / Spanish / Arabic (bonus)

💻 Technical Skills

• 📈 Tools: Excel, Power BI, Tableau

• 🧑‍💻 Languages: SQL, Python, R

🚀 Why Join?

• Contribute to a high-impact, international data transformation project

• Work in a collaborative and purpose-driven environment

• Gain exposure to complex data ecosystems and modern tools