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 Senior Analytics Engineer builds, runs and improves Imagine's analytics platform: the infrastructure, pipelines and core data models that the organisation's reporting and analysis depend on. The central task is to scale the platform as data volumes grow, keeping costs under control without giving up performance. In a small team, that means covering the infrastructure underneath the data as well as the data engineering itself. Imagine's data comes from many sources. The largest is tablets in more than 1,500 schools across Malawi, Tanzania and Sierra Leone, which record learning activity as individual events, adding up to billions of records. These only become meaningful when joined with programme context, such as active schools per term, device allocations and enrolment, and with operational data from inventory and field data collection. Turning all of this into reliable data on a non-profit budget calls for careful decisions about where processing happens and what each workload