Data Analyst Volunteer

WFP

ABOUT WFP The World Food Programme is the world s largest humanitarian organization saving lives in emergencies and using food assistance to build a pathway to peace, stability and prosperity, for people recovering from conflict, disasters and the impact of climate change. At WFP, people are at the heart of everything we do and the vision of the future WFP workforce is one of diverse, committed, skilled, and high performing teams, selected on merit, operating in a healthy and inclusive work environment, living WFP's values (Integrity, Collaboration, Commitment, Humanity, and Inclusion) and working with partners to save and change the lives of those WFP serves. To learn more about WFP, visit our website: https://www.wfp.org and follow us on social media to keep up with our latest news: YouTube , LinkedIn , Instagram , Facebook , Twitter , TikTok . WHY JOIN WFP? WFP is a 2020 Nobel Peace Prize Laureate. WFP offers a highly inclusive, diverse, and multicultural working environment. WFP invests in the personal & professional development of its employees through a range of training, accreditation, coaching, mentorship, and other programs as well as through internal mobility opportunities. A career path in WFP provides an exciting opportunity to work across the various country, regional and global offices around the world, and with passionate colleagues who work tirelessly to ensure that effective humanitarian assistance reaches millions of people across the globe. We offer an attractive compensation package (please refer to the Terms and Conditions section of this vacancy announcement). Contract type: Volunteer - Unpaid Age required: Minimum 18 years old Duration of contract : 10 weeks JOB TITLE: Data Analyst Volunteer UNIT/DIVISION: Data & AI / Technology Division DUTY STATION (City, Country): Cairo, Egypt BACKGROUND AND PURPOSE OF THE ASSIGNMENT: The Data & AI team in the Technology Division is seeking a motivated undergraduate intern to support data analysis activities across global AI and analytics projects at WFP. This internship offers practical experience in working with real-world datasets to support data cleaning, transformation, modelling, and visualization tasks. Under the direct supervision of the Lead Data Scientist, the intern will contribute to analytical workflows, help prepare data for reporting and decision-making, and support the development of Tableau dashboards and other data products. ACCOUNTABILITIES/RESPONSIBILITIES: 1. Support the Data & AI team in cleaning, validating, and organizing datasets for analysis and reporting. 2. Assist with data transformation and preparation processes to ensure datasets are accurate, structured, and ready for downstream use. 3. Contribute to analytical modelling and exploratory analysis to identify trends, patterns, and insights relevant to business and operational needs. 4. Develop and update data visualizations and dashboards in Tableau to communicate key findings clearly and effectively. 5. Prepare documentation and summaries of analytical methods, outputs, and dashboard updates, and collaborate with team members under the supervision of the Lead Data Scientist. DELIVERABLES AT THE END OF THE CONTRACT: 1. Cleaned and transformed datasets, analytical outputs, or supporting models produced during the internship, as applicable. 2. At least one Tableau dashboard, visualization, or end-of-internship presentation summarizing the work completed, insights generated, and recommendations. QUALIFICATIONS & EXPERIENCE REQUIRED: Education: Currently enrolled in an undergraduate programme in Data Science, Computer Science, Statistics, Information Systems, Business Analytics, or a related quantitative field. Knowledge & Skills: Required: hands-on experience with Tableau and strong understanding of data cleaning, data transformation, data modelling, and visualization principles. Preferred: working knowledge of Python. Strong analytical thinking, attention to detail, and ability to communicate insights clearly are essential. Languages : Fluency in English is required. Knowledge of another UN language is an advantage.