M&E Associate – Rapid Experimentation

Job not on LinkedIn

🔥 50 minutes ago

🇷🇼 Rwanda – Remote

💵 $38.6k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

✨ Associate

Where this job comes from

Posted on GiveDirectly's careers page, not through a job board

First seen by Remote Rocketship 50 minutes ago

Still open on GiveDirectly's site. Checked 44 minutes ago.

Logo of GiveDirectly

GiveDirectly

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

• Execute and analyze rapid A/B tests across GiveDirectly programs • Conduct power calculations and set up pre-specified experimental designs • Review experiment setups and identify execution or measurement risks • Coordinate experiments with Programs, Product, Research teams, and external academic partners • Manage a portfolio of 2–3 live A/B tests at a time • Ensure accurate measurement and high-quality experimental data • Prepare clean, structured datasets from survey, administrative, and product data • Identify data quality risks and conduct targeted literature reviews • Generate decision-ready analyses and interpret experimental results • Translate findings into actionable recommendations for program and product decisions • Prepare concise memos, summaries, and other learning products for technical and non-technical audiences • Prepare de-identified datasets for external academic partners • Contribute to cross-country learning and maintain experiment documentation • Report to the Senior Manager, Monitoring and Evaluation

🎯 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, work with imperfect data, and iterate quickly • Ability to interpret results beyond statistical significance and communicate actionable insights • Must overlap with an East Africa timezone by at least 3 hours • Willingness and ability to travel within East Africa regularly, up to 25% of the time • Additional international travel may be required, up to 10% of the time • Employment visa sponsorship is unavailable for the U.S. or U.K.

🏖️ Benefits

• 10% bonus at target performance • Annual benefits stipend: £2,760 (UK) • Annual benefits stipend: $21,393 (United States) • Robust health benefits plan (details vary by country) • Flexible paid time off • Desk set-up allowance • Learning and development allowance • Supportive team environment

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