Learning Measurement & Data Systems Officer at Peoples Action for Learning (PAL) Network

Peoples Action for Learning (PAL) Network

  • Kenya
  • Permanent
  • Full-time
  • 2 months ago
The People's Action for Learning (PAL) Network is a south-south partnership of 17 member organisations working to promote children's foundational learning across Africa, Asia, and America. PAL Network members conduct citizen-led assessments (CLAs) and learning intervention programmes (action) aimed at improving learning outcomes.Learning Measurement & Data Systems OfficerThe main responsibilities of the role will be:
  • Test Development and Assessment Support
  • Collaborating with the Assessment Unit to refine tools and conduct item-level analysis.
  • Developing and updating scoring guides, training materials, and data dashboards.
  • Digitizing research instruments-such as contextual questionnaires-using platforms like SurveyCTO.
  • Data Management and Digital Systems
  • Managing research data pipelines by cleaning, merging, anonymizing, and documenting datasets systematically.
  • Testing digital data collection tools to ensure usability, performance, and functionality.
  • Verifying and configuring user roles and permissions in platforms like SurveyCTO to ensure secure workflows.
  • Maintaining standardized metadata, codebooks, and research documentation across all projects.
  • Data Analysis and Knowledge Generation
  • Analyzing foundational and holistic learning data using robust quantitative methods.
  • Drafting technical reports, policy briefs, narratives, peer-reviewed papers, and white papers for diverse audiences.
  • Mentoring junior researchers and fellows in quantitative analysis, research practices, and documentation.
  • Field Implementation and Capacity Strengthening
  • Training country teams on digital data collection protocols and promoting best practices.
  • Supporting field testing and overseeing the quality of live data collection activities.
  • Preparing ethics submissions, managing data-sharing agreements, and implementing quality control protocols.
Requirements:
  • Advanced degree in Data Science, Statistics, Economics, Education Measurement, Psychometrics, or a related field.
  • Strong technical expertise in quantitative data analysis, with proficiency in Stata, R, or Python.
  • Experience working with large-scale learning assessments or education datasets.
  • Demonstrated ability to manage data systems and produce high-quality analysis and reporting.
  • Familiarity with psychometric principles, item-level data analysis, measurement frameworks.
  • Experience with digital data collection tools (e.g., SurveyCTO) is desirable.
  • Excellent written communication skills and ability to present complex data in accessible formats.
  • Fluency in English is required. Proficiency in French, Spanish, or Portuguese is considered a strong asset, given PAL Network's global footprint.
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