Mentor A Promise is a New York City–based nonprofit serving children and youth (ages 5–18) experiencing housing instability, grounded in the belief that every child is a Promise—full of potential, dignity, and possibility. We deliver consistent, high-quality programming across mentorship, literacy, social-emotional learning, and creative expression in shelters, schools, and community spaces, creating structured environments where students can grow, be seen, and build lasting skills. Through signature experiences like The Imagination Studio, The Kitchen Table, The Sound Lab, and The Story Space, we nurture academic development, emotional well-being, and creative voice, all within a trauma-informed, culturally responsive, and accessibility-centered framework. Our work prioritizes dignity-protective storytelling, consent-driven engagement, and deep community partnership, ensuring that how we serve is as intentional as whom we serve. We are not only addressing immediate needs - we are building pathways to confidence, belonging, and long-term opportunity, so every child has the support and foundation to carry their promise forward.

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Organization Mentor A Promise

Commitment 5–10 hours per week

Location Remote (EST or CT time zones required)

About Us

Mentor A Promise (MAP) is a fast-growing, mission-driven nonprofit supporting children and youth experiencing housing instability. We operate like a scrappy startup—lean, innovative, and highly collaborative—leveraging free and low-cost tools to build impactful, scalable solutions.

The Opportunity

We’re looking for a hands-on HR Data & People Analytics Specialist to help us build the foundation of our HR data infrastructure from the ground up.

This role is ideal for someone who enjoys creating order from chaos, building systems using free tools, and translating people data into actionable insights.

You will play a key role in designing and maintaining our HR database, reporting structure, and data workflows.

What You’ll Do

• Build and maintain a centralized HR database using Google Workspace tools (Sheets, Forms, Drive)
• Design and track HR metrics and dashboards (e.g., retention, engagement, volunteer lifecycle)
• Create automated reporting using advanced Excel and/or Google Sheets
• Develop and document HR data processes, workflows, and SOPs
• Partner cross-functionally with leadership (People, Operations, Program teams)
• Leverage free AI tools to improve efficiency (automation, data cleanup, reporting)
• Ensure data accuracy, consistency, and usability across systems
• Recommend scrappy, cost-effective solutions to improve HR data capabilities
  
  

What We’re Looking For

• Strong experience with Advanced Excel (pivot tables, formulas, data modeling)
• Proficiency in Google Workspace (especially Sheets, Forms, and database-like structures)
• Experience building or managing HR data, people analytics, or reporting systems
• Ability to create a “Google-based database” (relational thinking, structured data)
• Experience documenting process flows and workflows
• Familiarity with free AI tools (e.g., ChatGPT, Notion AI, Airtable AI, etc.)
• Strong collaboration skills; ability to work with non-technical stakeholders
• Comfortable in a scrappy, startup-style environment with limited resources
• Self-starter who can build from scratch without heavy oversight
  
  

Nice to Have

• Experience in nonprofit or volunteer organizations
• Exposure to HRIS systems (even if informal or self-built)
• Basic knowledge of data visualization tools (Looker Studio, Tableau Public, etc.)
  
  

Why This Role Matters

You will help us build the backbone of our HR infrastructure, enabling smarter decisions, better volunteer experiences, and scalable growth.

What You’ll Gain

• Hands-on experience building an HR data function from scratch
• Ownership and visibility working directly with leadership
• Opportunity to create real systems with real impact
• Skill-building in people analytics, automation, and AI tools
• Strong professional references and network expansion
  
  

How To Apply

If you’re excited about building scrappy, high-impact systems and using data to drive people decisions, we’d love to hear from you.