LOGISTIC & SUPPLY CHAIN DATA ANALYST (BASED IN ANY OCBA HUB)

GENERAL CONTEXT   

Médecins Sans Frontières (MSF) is an international independent medical humanitarian action-driven organization, which offers assistance to populations in distress, to victims of natural or man-made disasters and to victims of armed conflict, without discrimination and irrespective of race, religion, creed or political affiliation. The MSF movement is built around six operational directorates supported by MSF’s 21 sections, 24 associations and other offices together worldwide.  

MAIN PURPOSE  

Analyse, structure and transform Logistics & Supply Chain data to generate reliable insights and performance visibility across units, supporting decision-making, digitalization and continuous improvement, in order to ensure that operations are guided by accurate information, standardized KPIs and accessible analytical tools. 

JOB OVERVIEW  

This role analyzes, structures, and transforms Logistics & Supply Chain data into strategic and operational insights that enable performance visibility, data-driven decision-making, and continuous improvement across the department. 

The function contributes to data-driven decision taking. It requires a high level of original thinking and strong analytical skills to derive meaningful conclusions from complex datasets. The position operates with balanced autonomy — guided by the Analytics Manager, but with the independence to plan, execute, and deliver analytical outputs. The most complex aspect of the role is translating information needs from different L&SC units into structured data analyses and dashboards that directly support decisions, a challenge met through critical thinking, technical data handling, and iterative validation with stakeholders 

RESPONSIBILITIES AND MAIN TASKS  

1. Analyze and transform logistics and supply chain data from multiple systems to generate insights that support both operational and strategic data-driven decision-making across Operational Logistics, Technical Unit and Supply Unit. 
2. Develop, maintain and improve dashboards, reports and analytical tools that integrate key operational and performance indicators, to ensure timely visibility and understanding from Logistics & Supply Chain stakeholders at all levels. 
3. Facilitate the design, implementation and maintenance of data integration pipelines and ETL processes to enable quick-impact access to harmonized and structured data that allows analyses, reporting, and performance monitoring, following Projects & IT guidelines. 
4. Collaborate with Architecture and Data team within Projects & IT on data structure, reporting functionalities, and technical integration to enable the use of data and analytical solutions across units in an efficient and consistent way. 
5. Support digitalization initiatives and analytical tool development by identifying opportunities to automate manual processes and developing solutions to ensure efficient adoption and practical use of data-driven processes within L&SC operations. 
6. Monitor, validate, and maintain data quality and consistency across multiple L&SC datasets, to ensure that all information used for decision-making is reliable, standardized, and aligned with MSF OCBA data governance standards. 
7. Document and share analytical methodologies, lessons learned, and technical guidance, to promote knowledge management, continuity of analytical projects, and the development of data literacy across the department, collaborating with Knowledge Management team. 
8. Contribute to the definition, harmonization, and continuous improvement of indicators, data standards, naming conventions, and classifications, to enable a coherent performance measurement framework, enabling evidence-based decision-making and continuous improvement across the L&SC department 

SELECTION CRITERIA   

• Degree in Computer Science, Data Science, Industrial Engineering, Telecommunications or another related engineering field is required. A Master’s degree in Business Intelligence, Big Data or a related field will be considered an asset.  
• Minimum of 3 years of professional experience in data analytics, business intelligence or data-related roles, preferably within supply chain management, logistics or technical departments.  
• Proven experience using Business Intelligence and data visualization tools (e.g. Power BI, Tableau or similar) for reporting, analysis and decision-making support.  
• Strong knowledge of Excel, SQL and Python. Experience with ETL/ELT systems (preferably Azure Data Factory) and database solutions such as SQL Server, Azure SQL Database or Synapse will be considered an asset.  
• Experience working with large datasets, reporting systems and analytical tools to generate operational insights and support business decisions.  
• Fluency in English and Spanish is mandatory. French will be considered an asset.  

CONDITIONS  

• Position based in any MSF-OCBA Hub: Amman, Bogotá, Dakar, Nairobi, Barcelona, Bilbao, Sevilla or Madrid. Final location will be subject to the employability of the preselected candidate (e.g., residency, work permit, etc.).  
• Full-time position.  
• Annual Gross Salary: level HQ-3A + secondary benefits based on MSF OCBA Reward Policy. Subjected to local conditions.  
• Duration: permanent contract.  
• Starting date: mid/end of June.  

HOW TO APPLY   

• To apply, please submit your CV and cover letter. 
• Closing date: 7th June 2026, 23:59 CET (Central European Time).  

MSF is committed to achieving workforce diversity in terms of gender, race, nationality and culture. Individuals from minority groups, indigenous groups and persons with disabilities are encouraged to apply. We are committed to achieving a balanced gender distribution and therefore encourage women to apply.  

All applications will be treated with the strictest confidence. MSF provides a work environment that reflects the values of gender equality, teamwork, integrity and a healthy balance of work and life. MSF does not tolerate sexual exploitation and abuse, any kind of harassment, including sexual harassment and discrimination. All selected candidates will, therefore, undergo reference checks.  

Médecins Sans Frontières, as a responsible employer, under the¨Ley General de la Discapacidad de 2013 (LGD)¨ invite those persons with a recognized disability and with an interest in the humanitarian area to apply for the above-mentioned position.