Supply Chain Data Analyst

Duties and Responsibilities

Data Analysis (80%)

• Design and execute data-driven solutions to tackle real-world supply chain challenges in humanitarian and development contexts.
• Extract, process, and interpret key insights from diverse datasets to support supply chain optimization projects, such as medical, food, and non-food item (NFI) supply chains.
• Develop and adapt supply chain models and methodologies tailored to project contexts and partner needs.
• Produce high-quality visualizations (e.g., dashboards, reports) to effectively communicate insights and influence decision-making.
• Ensure data integrity and maintain the clarity and reliability of analysis across the data lifecycle.

Training and Capacity Building (10%)

• Provide content for targeted training activities in data analysis, supply chain modeling, or information management for internal teams and external partners and facilitate the delivery of courses.
• Support knowledge-sharing initiatives to build technical expertise in humanitarian organizations and government institutions.

Administrative Support (10%)

• Manage project-related documentation, reporting, and coordination activities to ensure smooth project execution.
• Contribute to the planning and execution of workshops, events, and training sessions as required.

REQUIREMENTS

Education and Experience

• Bachelor’s degree in a quantitative discipline (e.g., Statistics, Operations Research, Economics, Mathematics, Computer Science, IT, or Engineering). Advanced degree preferred.
• Four to seven years of working experience in data analysis, ideally with exposure to supply chain or logistics projects.
• Experience working with diverse datasets, demonstrating strong skills in data modeling, statistical analysis, and visualization.

Qualified candidates should send their applications, including a cover letter and updated CV with three referees (and their email contacts), to help.kenya@kuehne-foundation.org. The email subject should clearly state the position title. Applications must reach us no later than 06th December 2024. Only shortlisted candidates will be contacted.