Supply Chain Data Analyst At HELP Logistics

PURPOSE

As a Supply Chain Data Analyst, you will drive data-driven solutions that transform supply chains in humanitarian and development contexts. Working with consultants, you will collect, analyze, and interpret data to identify inefficiencies, propose actionable improvements, and deliver measurable results. Your work will focus on critical areas such as procurement, warehousing, transportation, and distribution, using data insights to empower decision-making and optimize operations.

Balancing autonomy and collaboration, you will take ownership of analysis tasks while contributing to team projects. By ensuring the accuracy and clarity of your work, you will support consultants in delivering impactful solutions to HELP Logistics’ partners. Your ability to blend technical expertise with a practical understanding of supply chains will be key to addressing real-world challenges and achieving meaningful outcomes.

This role offers a unique opportunity for professional growth, providing insight into humanitarian supply chain operations and access to learning courses and self-study resources. As a representative of HELP Logistics, you will interact with diverse stakeholders, demonstrating professionalism and delivering high-quality outputs that shape resilient, effective supply chains and create lasting social impact.

KEY 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.

Technical Skills

• Proficiency in data analysis tools and programming languages (e.g., Python/Jupyter, R, ML.NET, SQL).
• Expertise in data visualization software (e.g., Tableau, Power BI).
• Familiarity with supply chain and logistics principles, with the ability to adapt methods to specific contexts.
• Strong computer skills, including advanced Excel and PowerPoint.
• Knowledge of statistical techniques (e.g., regression, correlation) is an advantage.

Behavioral Competencies

• Self-motivated with a high degree of autonomy and the ability to manage multiple priorities effectively.
• Professional demeanor with excellent interpersonal skills to build relationships with diverse stakeholders.
• Strong analytical and problem-solving capabilities.
• Effective communicator, able to simplify complex insights for diverse audiences.
• Culturally sensitive, with cross-cultural experience and understanding.

Other Requirements

• Professional fluency in spoken and written English and Kiswahili. French language skills are a plus.
• Willingness to travel (up to 60% of the time) within the region and internationally.
• Commitment to organization values: Collaboration, Curiosity, Integrity, and Resilience.