National Consultant (Statistician), When Actually Employed (WAE), SSA9 at World Food Programme (WFP)

Role Overview

As a Statistician, you will be instrumental in developing and implementing methodologies for outcome monitoring (OM) and impact assessments. Your expertise will guide data collection, analysis, and reporting processes that inform program improvements and strategic adjustments. This role requires collaboration with various stakeholders, including WFP teams and external partners.

Key Responsibilities

• Methodology Development: Design and implement the OM methodology, ensuring it aligns with WFP standards.
• Impact Assessment Support: Collaborate with identified firms to design and execute impact assessments.
• Tool Development: Create and refine OM and impact assessment tools that meet methodological requirements.
• Data Management: Oversee randomization processes, household selection, data collection training, and field supervision to ensure high-quality data.
• Data Analysis: Develop comprehensive data analysis plans, clean datasets, and analyze results to support reporting processes.
• Stakeholder Engagement: Present findings to stakeholders during debriefing sessions and contribute to discussions on program improvements.
• Ensure timely delivery of quality services that meet or exceed client expectations;
• Perform any additional tasks that may be assigned by the supervisor.

Deliverables

• Technical note outlining methodology and timelines.
• Final OM report with detailed analysis results.
• Comprehensive list of indicators with baseline and OM values.
• Cleaned datasets for impact assessments.

Qualifications & Experience

• Master’s degree in Statistics, Data Science, or a related field.
• Proven experience in statistical analysis and research methodologies.
• Familiarity with humanitarian programs or development work is preferred.
• Strong analytical skills with proficiency in statistical software (e.g., R, Stata).
• Ability to analyze complex issues and develop creative solutions.
• Excellent communication skills for presenting complex data clearly.