UNPAID VOLUNTEER - Data and Evaluation Analyst

UNPAID VOLUNTEER - Data and Evaluation Analyst

Organisation:  Blockchain & Climate Institute (BCI) 
Hours:  8 hours per week | Duration: Ongoing | Location: Remote 
Reports to:  Director of Capacity Building 

About BCI

The Blockchain & Climate Institute partners with the UN, EU, and sovereign governments on climate policy and blockchain innovation. Our volunteers drive real climate solutions - better learning means more capable volunteers, which means greater impact

The Role

You'll design and run the evaluation framework for BCI's learning programmes, starting with an intensive onboarding transformation and continuing as our ongoing learning analytics function. 

Phase 1 - Transformation Project: We're redesigning volunteer onboarding from compliance-heavy to mission-driven. You'll prove whether it works by establishing baselines, tracking progress, analysing what's effective, and presenting findings to leadership. 

Phase 2 - Ongoing Analytics: Monitor learning effectiveness, evaluate new initiatives, identify improvements, provide evidence that drives decisions about how we develop volunteer capacity. 

This isn't box-ticking. You'll actively shape BCI's capacity building through evidence. 

Key Responsibilities

During Transformation 

• Design evaluation framework and establish baseline metrics 

• Set up data collection in 360Learning platform and create tracking dashboards 

• Analyse pilot data and provide weekly insights to learning designers 

• Monitor volunteer feedback and engagement patterns 

• Conduct comparative analysis (new vs. old approach) 

• Prepare impact reports and board presentations 

• Attend weekly team syncs (1 hour) 

Ongoing 

• Track onboarding effectiveness and volunteer progression metrics 

• Produce regular reports on learning engagement and retention 

• Evaluate new learning modules and initiatives 

• Identify underperforming content and recommend improvements 

• Support A/B testing of different approaches 

• Provide evidence-based input into capacity building strategy 

• Present findings to leadership and board 

• Optimise 360Learning platform usage 

Requirements

Technical

• Experience designing evaluation frameworks for learning/change programmes

• Data analysis proficiency (Excel/Sheets minimum; SQL/Python/R/Tableau bonus)

• Experience with Learning Management System data (360Learning ideal but not essential)

• Clear data visualisation and dashboard creation skills

• Understanding of quantitative and qualitative methods

Knowledge

• Understanding learning effectiveness metrics beyond completion rates

• Familiarity with adult learning evaluation (Kirkpatrick or similar)

• Ability to distinguish activity from impact

Working Style

• Highly organised - delivers meaningful work in 8 focused hours weekly

• Works autonomously within clear parameters

• Comfortable challenging assumptions when data contradicts them

• Translates analysis into plain English

• Self-directed - identifies what needs analysing without constant oversight

Personal

• Curious about what makes learning work

• Mission-aligned with climate action

• Pragmatic - useful insights over academic perfection

• Collaborative - supports rather than audits

• Patient with volunteer organisation realities

Desirable

• Experience with volunteer or mission-driven organisations

• Onboarding/induction programme evaluation

• Instructional design or learning science background

• Board-level stakeholder presentation experience

Practical Details

8 hours weekly, flexibly arranged. During transformation: variable distribution (analysis-heavy some weeks, lighter others). Ongoing: more predictable rhythm with regular check-ins and quarterly reporting cycles.

Benefits

Why It Matters

Better learning means more capable volunteers. More capable volunteers means greater climate impact. You'll have genuine influence over how BCI develops its people - starting with a high-visibility transformation and continuing with ongoing strategic impact.

Perfect for someone who wants analytical rigour applied to mission-driven work without full-time commitment. Autonomy, direct impact, tangible improvements.