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

The 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.