Data Analyst – Applied Lab – for NonProfit

Living Stones Foundation

Build Data Systems That Drive Real Social Impact

Living Stones Foundation is building an innovation-driven Applied Lab focused on using data, AI, and digital transformation to strengthen nonprofits and underserved communities across Latin America, the U.S., and Canada.

We are looking for Data Analysts (Volunteer – Remote, Unpaid) who want to apply their technical skills to real-world social challenges while collaborating with an international, high-performing volunteer team.

If you are passionate about analytics, impact measurement, and innovation — this is for you.

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What You’ll Do

You will help design and implement data-driven systems that improve decision-making, scalability, and measurable impact.

Core Responsibilities

Data Architecture & Structuring

• Clean, organize, and structure multi-source datasets
• Design scalable data workflows
• Ensure data integrity and documentation standards

Analytics & Insight Generation

• Conduct exploratory data analysis (EDA)
• Identify trends and performance indicators
• Develop models to measure program effectiveness
• Translate data into actionable strategic insights

Dashboards & Reporting

• Build executive-level dashboards
• Create impact and performance reports
• Support real-time monitoring systems

Impact & Evaluation

• Develop KPIs aligned with social innovation goals
• Support monitoring & evaluation frameworks
• Strengthen evidence-based decision-making

Cross-Functional Innovation

• Collaborate with AI specialists, developers, program managers, and marketing teams
• Contribute data insights to grant proposals and institutional reporting
• Support experimentation with AI and predictive analytics (when applicable)

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What We’re Looking ForBackground

• Data Science, Statistics, Engineering, Computer Science, Economics, Mathematics, or related quantitative fields
• Experience in analytics projects (academic or professional)
• Interest in social impact, nonprofit innovation, or international development

Technical Skills

• Python or R
• SQL & relational databases
• Data visualization tools (Power BI, Tableau, Looker, etc.)
• Advanced Excel
• Understanding of data cleaning, validation, and transformation
• Basic ML knowledge (a plus, not required)

Languages

• Advanced Spanish (required)
• Advanced English (required)

Availability

• 8–12 hours per week
• Fully remote
• Volunteer (unpaid)

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Why Join Us?

• Work on real-world, high-impact analytics projects
• Collaborate with 70+ professionals and graduate students from top U.S. and Canadian universities
• Gain applied experience in AI-driven social innovation
• Build international exposure and cross-sector experience
• Expand your professional network
• Receive certificate of participation and international recognition

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Who This Role Is Ideal For

• Graduate students in data-related fields
• Early-career analysts seeking applied impact experience
• Professionals wanting to contribute skills to meaningful initiatives
• Technologists exploring social innovation and AI for good