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Global Impact Analyst (Remote)

Confidential

Not specified permanent

Posted: March 20, 2026

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Quick Summary

The Impact Analyst will be responsible for conducting cross-country durability analyses, benchmarking, and synthesizing insights to inform strategic decisions.

Job Description

JOB OBJECTIVES:

The Impact Analyst will strengthen Generation’s ability to measure, analyze, and communicate durable impact across the global network. Reporting to the Lead, Impact Evaluation & Data Advocacy, this role will support durability measurement, evaluation framing, structured analysis, and insight synthesis, while collaborating across analytics and impact operations initiatives.

 

This role combines structured problem-solving, research rigor, and practical analytics. The Impact Analyst will contribute to cross-country durability analyses, benchmarking, rapid-response leadership inquiries, and high-quality insight development, while gaining exposure to analytics production, dashboard interpretation, and data operations processes.

 

Over time, this role is designed as a development pathway toward senior impact measurement and/or impact operations leadership within Generation.

KEY ACCOUNTABILITIES & RESPONSIBILITIES:

Durability & Impact Evaluation Support

Support cross-country durability analyses (employment, earnings, job quality, financial health, and related metrics)

Contribute to evaluation framing, research design inputs, and methodological comparability discussions

Conduct structured literature reviews and benchmarking analyses

Draft evaluation briefs, internal synthesis memos, and funder-ready materials

Help ensure durability insights are grounded in consistent and reliable underlying data

  

Structured Analysis & Rapid Problem Solving

Translate ambiguous leadership and funder questions into structured analytical approaches

Conduct exploratory and quick-turn analyses using available datasets

Identify patterns and implications across countries, cohorts, and program models

Participate in problem-solving sessions with D&I and Generation leadership

Insight Synthesis & Communication

Develop high-quality slide decks and written summaries that distill complex findings

Translate technical analyses into accessible narratives for non-technical stakeholders

Support development of coherent impact narratives across decks and reports

Contribute to external-facing materials where appropriate

  

Cross-Functional Analytics & Operations Support

Partner with Impact Operations and Analytics colleagues on select dashboard analyses and metric interpretation

Provide light analytical support to dashboard updates and reporting enhancements

Collaborate on improving clarity and consistency of core metrics (e.g., placement, durability indicators, income, living wage, ROI)

Contribute to strengthening data quality, documentation, and analytical processes where relevant

Gain exposure to broader data governance and analytics ecosystem discussions

ATTRIBUTES (e.g. qualifications, knowledge, skills, and experience):

 

Required experience and skills:

1–3 years of experience in analytics, research, consulting, monitoring & evaluation, policy, or related fields

Strong structured thinking and problem-solving ability

Ability to synthesize complex information into clear insights

Strong written communication and slide development skills

Comfort working with data (Excel required; SQL preferred)

Ability to operate independently with moderate ambiguity

Intellectual curiosity and high attention to detail

Collaborative mindset across technical and non-technical stakeholders

 

Preferred experience and skills:

Experience in workforce development, economic mobility, education, or related social sector work

Exposure to survey design, research design, or impact evaluation methodologies

Experience working with dashboards (e.g., Power BI) and interpreting metrics

Familiarity with quasi-experimental or evaluation concepts

Experience preparing materials for senior leadership or funders

 

Mindset:

Structured thinker who naturally breaks down ambiguous questions into clear components and approaches.

Intellectually curious and motivated to understand the “why” behind outcomes, not just produce analysis.

Comfortable operating with moderate ambiguity while maintaining high standards for clarity and rigor.

Eager to learn and grow into greater ownership, receptive to feedback, and motivated by development.

Collaborative and low-ego, able to work across technical and non-technical stakeholders to refine ideas and strengthen outputs.

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