Global Impact Analyst (Remote)
Confidential
Posted: March 20, 2026
Interested in this position?
Create a free account to apply with AI-powered matching
Quick Summary
The Impact Analyst will be responsible for conducting cross-country durability analyses, benchmarking, and synthesizing insights to inform strategic decisions.
Required Skills
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.