National Consultant – Senior Statistician, When Actually Employed (WAE), SSA9, International Consultant, (CST II) – Deputy Team Leader – Kenya Country Strategic Plan 2025 Outcome Monitoring (Food systems and Climate change thematic Lead) International Consultant (CST III), Team Leader (Kenya Country Strategic Plan 2025 Outcome Monitoring)

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.

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