Priority Application Deadline: May 15, 2026

About this role

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 - the team runs frequent, lightweight experiments designed to generate actionable answers quickly, and then uses those learnings to refine and improve programs in real time. This includes:

• Supporting the execution and analysis of rapid A/B tests across GiveDirectly projects, ensuring that experiments are implemented effectively and contribute to learning within and across projects
• Ensuring experiments are implemented correctly, measured reliably, and analyzed to produce clear and credible results, working closely with Programs, Product, Research teams, and external academic partners to align experimental design with program delivery, data collection, and operational realities
• Translating findings into actionable insights and well-structured learning products that serve multiple audiences - internal program and product teams, and external academic partners, ensuring results inform both immediate decisions and longer-term program direction

In practice, 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.

Reports to: Senior Manager, Monitoring and Evaluation

Level: Associate

Travel Requirement: This role is based in Rwanda. Travel within East Africa is a regular part of the role, estimated at up to 25% of the time, to support field operations across country programs.Additional international travel may occur for trainings or team convenings, as needed (estimated up to 10%)

What you’ll do:

Execute and manage A/B tests across programs

• Conduct power calculations to ensure experiments are both statistically rigorous and feasible to implement within program constraints
• Set up pre-specified experimental designs, applying defined experimental groups, outcome measures, and measurement timelines
• Review experiment setups prior to launch and flag execution and measurement risks that may affect interpretability
• Ensure experiments are well-coordinated and executed as designed, aligning implementation with research plans and integrating smoothly into program delivery across Programs and Product teams
• Work at a fast pace across a portfolio of 2–3 live A/B tests at any given time, designed to generate actionable answers quickly and feed rapid iteration of programs and products

Ensure accurate measurement and high-quality data for experiments

• Collaborate with external Principal Investigators (PIs) to ensure measurement approaches and data collection are aligned with research design and implementation realities
• Ensure experimental outcomes are captured accurately and consistently by applying established indicator and measurement approaches
• Prepare and manage datasets that are clean, well-structured, and ready for analysis using survey, administrative, and product data
• Identify and flag data quality risks (e.g., missingness, inconsistencies, measurement error) that could affect the validity of experimental conclusions
• Conduct targeted literature reviews to ensure measurement approaches are grounded in evidence and aligned with best practices

Analyze experimental data and interpret results to inform decisions

• Generate reliable and decision-ready analyses of experimental data from A/B tests
• Assess the magnitude and direction of effects and highlight what the results do and do not suggest, noting key limitations
• Ensure results are clearly understood and appropriately interpreted, given data quality, sample size, and implementation considerations

Translate results into actionable insights and learning across experiments

• Translate experimental results into clear, actionable recommendations to guide program and product decisions for individual country programs, and for the direction of GiveDirectly’s programming as a whole
• Structure results and key learnings so they can be reused to inform future experiments and program design
• Prepare concise learning products (e.g., memos, summaries) that serve multiple audiences, including internal Programs and Product teams, and external academic partners, ensuring findings are clearly communicated for both technical and non-technical stakeholders 
• Prepare and clean de-identified datasets for sharing with external PIs and academic partners, ensuring data is structured, well-documented, and ready for independent analysis
• Contribute to cross-country discussions to ensure learnings from experiments are shared and applied across contexts, and maintain clear documentation so experiments are easy to track, understand, and build on over time

What you’ll bring:

• Exceptional alignment with GiveDirectly Values and active demonstration of our core competencies: emotional intelligence, problem-solving, project management, follow-through, and fostering inclusivity. We welcome and strongly encourage applications from candidates who have personal or professional experience in the low-income and/or historically marginalized communities that we serve.
• 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), ideally in development, tech, or operations-focused roles
• Solid understanding of experimental design and causal inference concepts (e.g., randomization, treatment/control groups, units of randomization, statistical power, bias) and how to apply them in real-world program contexts
• Experience using R, Python, or Stata to clean, manipulate, and analyze data, including working with multiple data sources (e.g., survey or administrative data)
• Experience collaborating with cross-functional teams (e.g., programs/operations, product, or research) and external partners to implement projects and solve problems
• Fluency in English required
• Comfort working at pace - able to manage multiple workstreams simultaneously, make progress with imperfect data, and iterate quickly based on emerging findings
• Ability to interpret results beyond statistical significance and communicate clear, actionable insights to both technical and non-technical audiences

Compensation

At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no negotiation policy to ensure we are paying staff equitably across roles. Read more about our compensation philosophy here.

Unless otherwise noted, the benefits stipend may be used to cover benefits or taken as additional taxable income.

Kenya

• Base Salary: $42,000
• Bonus at Target Performance: 10% (~$4,200, with potential for upside. For reference, with the organization's current performance multiplier, this amount would be $4,914 in 2025)
• Estimated Total Compensation at Target: $46,200+

Rwanda

• Base Salary: $37,600
• Bonus at Target Performance: 10% (~$3,760, with potential for upside. For reference, with the organization's current performance multiplier, this amount would be $4,399 in 2025)
• Estimated Total Compensation at Target: $41,360+

This role is fully remote, so if you are not based in Kenya or Rwanda, we will share an estimated salary benchmark for the country you are based in during the hiring process. 

Why work at GiveDirectly?

At GiveDirectly, we work to ensure that you have everything you need to excel in your role and on your team, including:

• 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

 #LI-REMOTE

Location: This role is fully remote but must overlap with an East Africa timezone by at least 3 hours. We are unable to sponsor or take over sponsorship of employment Visas in the U.S. or U.K. at this time.

Priority Application Deadline: March 4, 2026 or until we receive a critical mass of applications

About this Role

GiveDirectly’s Fundraising team is responsible for unlocking significant, sustained funding to scale direct cash transfers globally. As we scale, our fundraising systems must become increasingly rigorous, automated, and compounding. Today, many of our core fundraising metrics and analyses require manual effort; this role will help transform that reality.

We are hiring a Senior Manager, Data (Fundraising & Marketing) to serve as the primary strategic data partner to our fundraising and marketing teams. You will combine deep fundraising context with strong technical expertise to define the right questions, establish durable source-of-truth metrics, and build leveraged data products that reduce ad hoc work over time. You will function as a senior individual contributor with significant scope and autonomy.

You will directly own significant data modeling and transformation work within the data lakehouse. You will be responsible for building the curated data models that power reporting, forecasting, and decision-making. Our data infrastructure is built on AWS and Databricks, with dashboards and visualizations in Tableau. You will primarily use SQL to query data and contribute to data pipelines, and Python notebooks for deeper analysis. 

This is a full-time, globally remote position with travel 2–3 times per year for team retreats or planning sessions.

Core Responsibilities

Data Product and Metrics Ownership

• Set vision and priorities for how data supports fundraising and marketing strategy, based on a deep understanding of GiveDirectly’s fundraising model, donor lifecycle, and growth strategy, across revenue streams
• Define, standardize, and document core fundraising and marketing KPIs (e.g., retention, LTV, revenue forecasting metrics) to drive fundraising goals 
• Design and build robust data models in the warehouse that serve as the source of truth for fundraising reporting - weekly, monthly, quarterly and annually
• Establish clear, trusted source-of-truth datasets and metric logic used consistently across Fundraising, Finance, and Leadership, continually folding learnings in to update the metrics and definitions
• Identify recurring analytical needs and convert them into scalable, automated data products
• Scope and prioritize fundraising data products in partnership with Fundraising and Marketing Data stakeholders
• Partner with data engineering on upstream data quality and pipeline improvements, while owning the downstream analytical layer
• Continuously reduce ad hoc reporting by investing in durable systems that compound in value over time

Strategic Fundraising and Marketing Analytics

• Serve as the primary data partner to fundraising and marketing leadership, informing strategy across acquisition, retention, and revenue expansion
• Build and maintain revenue forecasts and donor cohort models to guide annual planning and budget allocation
• Support channel investment decisions with clear ROI frameworks, experiment design, and performance analysis
• Proactively surface decision-relevant insights, even when questions are not fully formed

Donor & Revenue Insights

• Conduct deep-dive analyses into donor cohorts, retention drivers, churn patterns, and cost per dollar raised to drive continuous improvement on fundraising performance
• Evaluate marketing and fundraising initiatives using appropriate analytical methods (including experimentation where feasible, though not all channels support large-scale testing)
• Translate complex analyses into clear recommendations for non-technical stakeholders that drive fundraising improvements
• Surface high-leverage opportunities to improve conversion, retention, and revenue durability

Data Infrastructure & Platform Contribution

• Collaborate with data engineers and analytics peers to improve data quality, access, and trust
• Partner with the Salesforce Lead to ensure CRM data structure and integrity support accurate reporting and scalable downstream modeling
• Contribute to the long-term roadmap for fundraising data architecture, ensuring systems are designed for scalability and compounding insight generation over time
• Contribute to improvements in GiveDirectly’s data capabilities such as adopting conversational analytics
• Maintain high standards of analytical rigor, documentation, and reproducibility

Qualifications

We recognize that strong candidates may not meet every requirement listed below. If this role excites you, we encourage you to apply.

Required

• 8+ years of experience in analytics, data science, or quantitative strategy roles, including a track record of driving marketing, growth, or fundraising performance through analytics
• Strong experience setting vision and priorities for data products from significant ambiguity
• Strong systems thinking and experience designing measurement systems that compound in value and reduce recurring friction
• Advanced SQL skills and demonstrated experience building production-grade data models in a data warehouse
• Strong Python proficiency
• Experience building forecasting models (e.g., revenue, LTV, retention)
• Experimentation and performance measurement experience (e.g., A/B testing, quasi-experimental methods, ROI evaluation)
• Ability to navigate ambiguity and independently shape how data informs organizational strategy

Compensation

At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no negotiation policy to ensure we are paying staff equitably across roles. Read more about our compensation philosophy here.

Unless otherwise noted, the benefits stipend may be used to cover benefits or taken as additional taxable income.

United States

• Base Salary: $129,000
• Bonus at Target Performance: 10% (~$12,900, with potential for upside. For reference, with the organization’s current performance multiplier, this amount would be $15,093 in 2025)
• Estimated Total Compensation at Target: $141,900+
• Annual Benefits Stipend: $21,393

This role is fully remote, so if you are not based in the US, we will share an estimated salary benchmark for the country you are based in during the hiring process. 

Why work at GiveDirectly?

At GiveDirectly, we work to ensure that you have everything you need to excel in your role and on your team, including:

• A positive and supportive team with opportunities for advancement
• A demonstrated commitment to helping all staff develop and grow
• A competitive salary, including bonus
• A robust health benefits plan (exact details will vary by country)
• Flexible paid time off
• Allowances for desk set-up and learning and development

 #LI-REMOTE

About the internship program 

Are you a recent graduate passionate about solving real-world problems and driving social impact? Do you dream of working at the intersection of strategy consulting, public policy, and international development? 

This internship is your opportunity to learn from experts, build hands-on experience, and make a difference.  

Instiglio offers unique work experience at the intersection of the private, public, and social sectors. As an Intern, Instiglio will offer you the opportunity to engage with a fast-paced results-oriented environment; experience first-hand the fundamentals of a growing global business; and contribute to the momentum of the results movement in international development.  

The Internship Program runs for a period of six (6) months and is open to recent graduates or end-of-study students. Interns will be based at the Nairobi office and will join a growing, entrepreneurial team. As a Project Intern, you’ll join a fast-paced, collaborative environment where you’ll support real client projects - helping governments and global organizations tackle challenges in education, employment, climate, and beyond. 

You will work closely with a project team (including Associates, Managers, and Senior Leaders) to conduct research, analyze data, and co-create insights that shape better programs and policies. 

 As an Intern, you will: 

• Facilitate problem-solving and help improve program designs for our clients.
• Prepare deliverables and high-quality presentations for clients. Conduct literature reviews and synthesize findings. 
• Execute qualitative and quantitative data analysis including describing and interpreting graphs, analyzing data and applying statistical concepts (e.g. mean, SD) to draw actionable insights/hypotheses.
• Contribute to teams developing technical components of Results-Based Financing instruments from scratch by assessing considerations and trade-offs unique to each design.
• Support the growth and development of our organization through initiatives such as business development, recruitment, etc. 

Who you are 

We are growing a team of resourceful go-getters that are driven by our mission, curious about the world, and dedicated to a life of learning supporting our strategy and growth. 

The ideal candidate is a Kenyan national or someone with the required permits to live and work in Kenya, a recent bachelor’s graduate or awaiting graduation, and is looking to kick-start an impact-driven career in strategy consulting and international development.  

Successful candidates must meet the following minimum requirements: 

• Education: Recent graduates (Class of 2026) with a bachelor’s degree in Social Sciences, Economics, Statistics, Development Studies, Public Policy, Political Science, Business, Engineering, or related fields.
• Language skills: Exceptional written and oral communication skills in English (C1 or professional proficiency). 
• Experience: None required. However, prior work experience (including other internships or trainee programmes) in consulting, international development, public policy, research, or similar fields is highly desirable.
• Skills   
  • Highly analytical with excellent numerical accuracy.
  • Proficiency in Microsoft Office suite applications (Excel, PowerPoint and Word) or Google Workspace (Google Drive, Docs, Sheets, Forms, etc.). 
  • Ability to synthesize technical information into simple concepts and analyze information critically.
  • Ability to work independently.  
  • High organizational skills and attention to detail.  
  • A team player attitude and enthusiasm for relational work with clients. 
  • Passion for international development.  

How you can grow with us 

Joining Instiglio as an Intern will enable you to accelerate your career in international development, consulting and public service, playing a critical role in shaping and delivering impactful projects with leading development actors.  During your internship, you will receive continuous feedback and mentorship from experienced professionals, participate in knowledge-sharing sessions across our global teams, and build a strong professional network within the international development and consulting space. You will also develop valuable consulting skills that can position you for a potential full-time Analyst role upon exceptional performance and business needs. At Instiglio, we foster a strong feedback culture through semi-annual reviews and personalized development plans to support your growth and learning journey. 

Working model and benefits 

The position is based in our Nairobi office and Instiglio has adopted a hybrid working model i.e., a minimum of two (2) days a week at the office. In addition to a stipend, Instiglio offers Interns other generous benefits such as vacation days, personal days to attend to personal emergencies, and bonus days off.

Join our team! 

Make your first career step one that creates real change. Join Instiglio and help governments deliver results that transform lives. 

Submit your application by attaching an English version of your CV and answering the application questions.  We will review applications on a rolling-basis.