M&E Associate – Rapid Experimentation

Job not on LinkedIn

🔥 1 hour ago

🇷🇼 Rwanda – Remote

💵 $37.6k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

✨ Associate

👻 Ghost score 0%

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GiveDirectly

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2009

🤲 Charity

🤝 Non-profit

🌍 Social Impact

💰 $1M Grant on 2018-03

Charity • Non-profit • Social Impact

GiveDirectly is a non-profit organization dedicated to alleviating poverty by providing direct cash transfers to individuals in need around the world. With a mission to help people living on less than $2. 15 per day, GiveDirectly empowers recipients to make their own financial decisions by delivering unconditional cash directly to them, leveraging mobile money technology. Their innovative approach has led to broad recognition and has been studied in numerous research projects. By bypassing traditional aid mechanisms, GiveDirectly aims to efficiently and scalably transform lives, offering targeted assistance in regions such as Bangladesh, Kenya, and the United States, among others.

📋 Description

• Support execution and analysis of rapid A/B tests across GiveDirectly projects • Ensure experiments are implemented correctly, measured reliably, and analyzed to produce credible results • Conduct power calculations and set up pre-specified experimental designs • Review experiment setups and flag execution and measurement risks • Manage a portfolio of 2–3 live A/B tests simultaneously • Collaborate with Programs, Product, Research teams, external Principal Investigators, and academic partners • Prepare and manage clean, well-structured datasets from survey, administrative, and product data • Identify data quality risks and conduct targeted literature reviews • Generate decision-ready analyses of experimental data and assess effects and limitations • Translate findings into actionable recommendations for program and product decisions • Prepare concise learning products, de-identified datasets, and documentation for internal and external audiences • Contribute to cross-country discussions and apply learnings across contexts

🎯 Requirements

• 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 • Solid understanding of experimental design and causal inference concepts • Experience using R, Python, or Stata to clean, manipulate, and analyze data • Experience working with multiple data sources, including survey or administrative data • Experience collaborating with cross-functional teams and external partners • Fluency in English required • Ability to manage multiple workstreams and iterate quickly with imperfect data • Ability to interpret results beyond statistical significance and communicate actionable insights • Alignment with GiveDirectly Values and demonstration of emotional intelligence, problem-solving, project management, follow-through, and inclusivity

🏖️ Benefits

• Bonus at Target Performance: 10% (~$3,760, with potential for upside) • Robust health benefits plan (exact details vary by country) • Flexible paid time off • Desk set-up allowance • Learning and development allowance • Supportive team environment