[Hiring] M&E Associate - Rapid Experimentation @GiveDirectly

Role Description

The Monitoring and Evaluation (M&E) Associate for Rapid Experimentation will support the execution and analysis of A/B tests across GiveDirectly’s programs, contributing to the use of data to inform program and product decisions. This role is fast-paced and iterative, involving:

• Supporting the execution and analysis of rapid A/B tests across GiveDirectly projects.
• Ensuring experiments are implemented correctly, measured reliably, and analyzed to produce clear and credible results.
• Translating findings into actionable insights and well-structured learning products for multiple audiences.

This role is about managing a high volume of rapid experiments and turning results into clear, credible evidence that continuously shapes how GiveDirectly’s programs are refined and improved.

Qualifications

• Exceptional alignment with GiveDirectly Values and active demonstration of core competencies: emotional intelligence, problem-solving, project management, follow-through, and fostering inclusivity.
• Bachelor’s degree (or equivalent) in Economics, Statistics, Public Policy, or a related quantitative field.
• 2–4 years of experience working with data in applied settings (e.g., experimentation, evaluation, analytics, or program learning).
• Solid understanding of experimental design and causal inference concepts.
• Experience using R, Python, or Stata to clean, manipulate, and analyze data.
• Experience collaborating with cross-functional teams and external partners.
• Fluency in English required.
• Comfort working at pace and managing multiple workstreams simultaneously.
• Ability to interpret results beyond statistical significance and communicate clear, actionable insights.

Requirements

• Execute and manage A/B tests across programs.
• Conduct power calculations to ensure experiments are statistically rigorous.
• Set up pre-specified experimental designs.
• Review experiment setups prior to launch and flag execution risks.
• Ensure accurate measurement and high-quality data for experiments.
• Collaborate with external Principal Investigators (PIs).
• Prepare and manage datasets that are clean and ready for analysis.
• Conduct targeted literature reviews.
• Analyze experimental data and interpret results.
• Prepare concise learning products for multiple audiences.
• Contribute to cross-country discussions to share learnings.

Benefits

• A supportive team that works hard and cares hard.
• A robust health benefits plan (exact details will vary by country).
• Flexible paid time off that staff is encouraged to take.
• Allowances for desk set-up and learning and development.