M&E Associate - Rapid Experimentation (Remote)

About the role

GiveDirectly supports the execution and analysis of A/B tests across its programs, helping data inform program and product decisions. The role is fast-paced and iterative, running frequent, lightweight experiments that generate actionable answers quickly and refine programs in real time. It reports to the Senior Manager, Monitoring and Evaluation.

Key responsibilities

• Execute and manage A/B tests across programs, working at a fast pace across 2-3 live tests at once
• Set up pre-specified experimental designs with defined groups, outcome measures and timelines, and review setups before launch to flag risks
• Conduct power calculations and prepare and clean datasets from survey, administrative and product data, flagging data quality issues
• Collaborate with external Principal Investigators to align measurement and data collection with research design
• Analyze experimental data, assess effect magnitude and direction, and write clear, actionable recommendations and learning products such as memos and summaries
• Share results across country programs and prepare de-identified datasets for external partners

Required profile

• 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, ideally in development, tech or operations roles
• Solid understanding of experimental design and causal inference (randomization, treatment/control groups, statistical power, bias)
• Fluency in English and comfort working at pace with multiple workstreams
• Alignment with GiveDirectly values and core competencies

Required skills

• Experience using R, Python or Stata to clean, manipulate and analyze data
• Ability to interpret results beyond statistical significance and explain them to technical and non-technical audiences

Travel within East Africa is regular (up to 25% of the time) and additional international travel may occur (up to 10%).