Avatar for LIVING STONES FOUNDATION
Empowering Social Entrepreneurship
  • B2C
  • Early Stage
    Startup in initial stages

Data Analyst – Applied Lab – for NonProfit

  • No equity
  • |Remote (
    Everywhere
    )
  • |Internship
Reposted: 1 month ago• Recruiter recently active
Hires remotely in
Everywhere
Remote Work Policy

Remote only

Company Location
Richmond
Visa Sponsorship

Not Available

Preferred Timezones
Hawaii, Alaska, Pacific Time, Mountain Time, Central Time, Eastern Time, Atlantic Time, Greenland, Brasilia Summer Time, Azores, Coordinated Universal Time, Central European Time, Eastern European Time, Turkey Time, Dubai Time
RelocationAllowed
Skills
Python
Data Mining
Machine Learning
Software Development
Data Analysis
Software Architecture
Data Entry
Software Testing
AI
Software
Problem Solving
Data Management
Machine Learning Data Science Python
Machine Learning Algorithms, Deep Learning, Artificial Neural Networks
Generative AI
Hiring contact
Carlos Cuauhtemoc
H.R. Manager • 2 years
image

About the job

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.


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)

What We’re Looking For

Background

  • 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)

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

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

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