M&E Associate (Data Analytics)

TL;DR

M&E Associate (Data Analytics): Supporting the execution and analysis of A/B tests across programs to inform product and program decisions with an accent on experimental design and causal inference. Focus on managing high-volume rapid experiments, ensuring data quality, and translating results into actionable insights.

Location: Fully remote, but requires regular travel within East Africa (up to 25% of the time). Position mentioned in relation to Rwanda and Kenya.

Salary: $42,000 – $46,200 (Benchmark for Kenya)

Company

hirify.global is a non-profit organization that provides direct cash grants to people living in extreme poverty to reshape international giving.

What you will do

• Execute and manage a portfolio of rapid A/B tests, including performing power calculations and setting up experimental designs.
• Coordinate experiment implementation across Programs and Product teams to ensure alignment with research plans.
• Manage and clean datasets using R, Python, or Stata, ensuring high data quality and reliability.
• Analyze experimental data to assess effect magnitude and direction to inform program iterations.
• Translate findings into actionable recommendations and concise learning products for technical and non-technical stakeholders.
• Collaborate with external Principal Investigators and academic partners on measurement approaches.

Requirements

• Bachelor’s degree in Economics, Statistics, Public Policy, or a related quantitative field.
• 2–4 years of experience in applied data settings (experimentation, evaluation, or analytics).
• Strong understanding of causal inference and experimental design (randomization, statistical power, bias).
• Proficiency in R, Python, or Stata for data manipulation and analysis.
• Fluency in English required.
• Ability to travel within East Africa up to 25% of the time.

Nice to have

• Experience in development, tech, or operations-focused roles.
• Personal or professional experience working with low-income or historically marginalized communities.

Culture & Benefits

• Candid, analytical, agile, and non-hierarchical organizational culture.
• Equitable compensation philosophy with a transparent no-negotiation policy.
• Robust health benefits plan (varying by country).
• Flexible paid time off.
• Allowances for desk set-up and professional learning and development.