[Hiring] Data Analyst - Insights & Strategic Enablement @World Food Programme

Role Description

The data analyst will work within a team of specialists, each owning a defined analytical domain. This role will allocate roughly 50% of its time to Optimisation and Experimentation—identifying improvement opportunities through research and data analysis, and validating changes through structured A/B testing. The remaining 50% will support broader analytical, reporting, and insight projects that enable fundraising teams to make data‑driven decisions and enhance supporter engagement.

• Experimentation: AB Test Analysis & User Research
  • Design robust experimentation frameworks by defining hypotheses, success metrics, minimum detectable effects (MDE), sample sizes, and statistical power, ensuring full adherence to testing and statistical standards.
  • Set up, monitor, and quality‑assure A/B dashboards, ensuring data integrity throughout the experimentation lifecycle.
  • Analyse experiment outcomes using sound statistical methods and translate findings into clear, actionable recommendations for programme optimisation.
• Experimentation: Test Repository & Insight Sharing
  • Develop and maintain a repository of user research and test results, that can be queried for potential future tests and explore potential of Agentic AI to uncover undetected insights.
  • Collate and present results in quarterly town hall sessions. Be a champion in developing a test and learn culture.
• Data Analysis: Analysis & Reporting
  • Develop and maintain analytical services by building dashboards and reports (Tableau, SQL, Python), ensuring data accuracy, quality, and reliable performance tracking across fundraising activities.
  • Drive insight generation by identifying new analytical opportunities that deepen understanding of supporter behaviour. Seek to answer questions which explains why people rather than merely measuring outputs.
• Data Analysis: Data Science & Machine Learning
  • Develop and operationalise machine learning models to understand and anticipate supporter behaviours (donation likelihood, churn risk, upgrade potential, content affinity).
  • Advance use of AI and LLMs to uncover deeper insights from within unstructured data sources.

Qualifications

• Educated to at least bachelor’s degree in Computer Science, Business Administration, or an analytical related subject.
• 6+ years’ experience in analysis and or experimentation.
• Professional experience of working with large and complex datasets.
• Theoretical and practical understanding and application of statistics.
• Ability to translate business problems and opportunities into analytical projects.
• Advanced Python and SQL coding skills.
• Experience of using BI software such as Tableau, PowerBI and Metabase.
• General knowledge of UN system policies, rules, regulations, and procedures governing administration is an asset.

Requirements

• Excellent written and spoken English is required.
• Knowledge of another official UN language would be a plus.

Benefits

• 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).