Job description
About Imagine Worldwide All children have immense potential, but hundreds of millions don't have access to the learning they need. Imagine Worldwide believes that every child should be empowered with the basic right to literacy and numeracy. We provide an innovative education technology solution and implementation model to the global literacy/numeracy learning crisis using the onebillion application and various toolkits and systems to support implementation. Our model is massively scalable, evidence-based, and can deliver foundational learning to millions of the most marginalized children. Imagine Worldwide partners with governments, organizations, and communities to provide child-directed, tablet-based learning that is accessible, effective, and affordable. We are incorporated in California (United States) as a nonprofit organization, but operate in Sub-Saharan Africa through locally-registered entities in Malawi, Sierra Leone, and Tanzania. Learn more on our website . Role Overview The Data Quality Analyst focuses on data quality across Imagine's data ecosystem. The role proactively monitors data from devices, programme systems and field sources, builds and improves the checks that catch problems early, and investigates issues raised across the organisation. Where an issue requires deeper analysis, reporting changes or engineering work, the role provides its findings and works with the relevant team member to resolve it. Imagine's data covers learning activity from tablets in more than 1,500 schools, along with programme, operational and field data. Devices sync intermittently and sources don't always agree, so checking data against what is happening in schools and in the field is central to the work. The role reports to the Director of Analytics and works closely with the Data Scientist, who provides methodological support. It suits an analyst who enjoys tracing a problem back to its source and wants to keep developing in a small team. As they build context on