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ALG Head of Impact

Data Analyst Full-time Permanent Remote

Job details

Not specified Salary
Remote Eligibility
Senior Experience
Full-time Employment

About this role

Role overview

Build and lead an evidence function that makes the impact of education and workforce programs rigorous, transparent, and useful for decision-making. The role combines evaluation methodology, data governance, external validation, and communication, helping leaders and partners understand both what outcomes are supported by evidence and where uncertainty remains.

Responsibilities - Develop the methods, systems, partnerships, and governance needed to make impact claims credible and suitable for internal decisions, donor review, and external scrutiny. - Set standards for data collection, verification, sampling, attribution, contribution, uncertainty, data quality, and clear reporting of limitations. - Broaden outcome measurement beyond job placement to include income, career progression, entrepreneurship, household effects, resilience, and longer-term opportunity. - Build trusted impact definitions, metrics, and data sources across programs and teams. - Turn evaluation findings into practical insight for program, product, fundraising, and executive decisions. - Establish external validation and research partnerships and develop evidence that may support publication or public reporting. - Build and develop the impact function, including the systems and team needed to sustain it as the organization grows.

Requirements - Deep expertise in impact evaluation, including randomized or quasi-experimental methods, longitudinal studies, sampling, survey design, and causal inference. - Ability to explain findings and methodological limitations clearly to technical and non-technical audiences. - Experience building or scaling an impact, research, monitoring, evidence, data, or learning function in a growing organization. - Ability to work across product, data, fundraising, and executive teams, balancing analytical rigor with a fast-moving operating environment. - Strong self-management, proactive communication, and collaboration skills in a distributed, cross-functional setting. - A quantitative or evaluation-focused advanced degree is among the qualifications listed in the source material.

Nice to have - Experience in Africa or other emerging markets, particularly in education, workforce development, skills training, youth employment, or economic mobility. - Experience with major donor diligence, institutional reporting, external research, or public-facing evidence products. - Familiarity with labor-market or longitudinal learner data, digital trace data, impact technology, or AI-enabled data systems. - Experience translating research into program improvements and learner support.

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Detected Nov 14, 2026
Last verified Nov 14, 2026

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