Learning Data Analyst (m/f/d) at EIDU | BE, DE | Rezi

Learning Data Analyst (m/f/d) at EIDU

Learning Data Analyst (m/f/d)

EIDU · BE, DE

3 weeks ago

Learning Data Analyst (m/f/d)

EIDU · BE, DE

a month ago
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About the Role

We are looking for a Learning Data Analyst to join the Impact team. You will analyze learner and teacher data to understand drivers of learning outcomes, identify program effectiveness, and inform future strategic changes. You will also design, analyze, and interpret experiments to test product and program changes, and explore data to identify new testing opportunities.

Responsibilities

  • Link learner and teacher app interactions, usage (dosage), reach (coverage), and progression to learning outcomes.
  • Diagnose program effectiveness and translate findings into actionable recommendations for product or program enhancements.
  • Plan, design, and analyze experiments end-to-end, including randomization, power calculations, and causal analysis.
  • Conduct discovery analyses (funnel, cohort, fidelity) to identify areas for future testing.
  • Collaborate with the Ops/BI Analyst on shared resources like dashboards and routine reporting.
  • Partner with operations and learning teams to define analytical questions grounded in learning science.
  • Utilize the tech stack including Redshift, Metabase, and dbt.

Requirements

  • Strong SQL and Python skills with experience handling large, messy event-level datasets.
  • Proficiency in experimental design, power analysis, and standard causal inference methods.
  • Proven ability to transform ambiguous event data into clear, decision-useful analyses.
  • Sufficient learning science literacy to formulate relevant questions for learner and teacher data.
  • Comfortable balancing rigorous experiment analysis with open-ended discovery work.
  • Ability to clearly communicate technical information to non-technical stakeholders.
  • Excellent communication skills, including effectiveness in multicultural environments.

Skills

  • SQL
  • Python
  • Experimental Design
  • Power Analysis
  • Causal Inference
  • Data Analysis
  • Data Visualization
  • Communication

Location

  • Kenya
  • Nigeria
  • Germany
  • India

Work Type

  • Full-time

Experience Level

  • Practitioner-level statistics
  • Experience working directly against large, messy event-level datasets

Education Level

  • Formal background or applied familiarity in learning science welcome

Benefits

  • Work on a significant global problem in education.
  • Be part of an international and passionate team.
  • An open environment that welcomes feedback and promotes mutual growth.
  • High degree of flexibility regarding working hours and vacations.

About the Company

  • EIDU partners with governments to strengthen public education systems at scale using a technology-enabled platform.
  • The platform integrates educational interventions and supports learners, teachers, education officers, and ministry staff.
  • EIDU aims to reach 1,000,000 active students in Kenya and Nigeria by 2026 and tens of millions more globally.
  • A randomized controlled trial showed a 0.53 standard deviation improvement in learning outcomes.
  • The organization combines analytical rigor, entrepreneurial drive, and disciplined execution to achieve measurable impact at national scale.