ABOUT US

We believe that all children should be given the chance to reach their full potential. However, more than 600 million children in the world do not achieve foundational skills like literacy and basic numeracy – despite the majority of them going to school.
At EIDU, we are creating the next-generation EdTech platform for children who lack access to high quality education that all children deserve. We currently serve over 500,000 students in Kenya, Nigeria, and Pakistan and are aiming to serve tens of millions within the next few years. External researchers conducted a year-long randomised control trial, midline results indicate that having EIDU in schools adds the equivalent of at least 0.8 years of learning development. We also have fascinating projects with leading technology companies to further enhance learning outcomes through AI.
EIDU is funded by well-known development agencies, foundations, and impact investors and we are about to scale our programs rapidly through partnerships with governments.
With a mission like EIDU’s, diversity of thought and background within our team is crucial. We value those who can bring a diverse perspective to our platform and help us provide high-quality education to as many children as we can across the globe.
If you’d like to learn more about us, visit our website at eidu.com or watch our two-minute video.

ABOUT THE ROLE

We are looking for a Head of Data Analytics to form an integral part of the Research, Learning and AI team. You will be responsible for developing and executing EIDU’s data strategy ensuring that it aligns with business objectives. You will take ownership of end-to-end delivery for critical data analytics initiatives. You will oversee the creation of actionable insights for all functions of the business and the definition of metrics that track the business’s performance at different fronts. This includes validating, interpreting, and creating dashboards, reports and presentations for senior leadership, and relevant stakeholders.

WHAT YOU WILL DO:

• Leadership:
• Oversee all activities of the data analytics department. Drive performance to impact overall business results while ensuring the department remains within the planned budget.
• Mentor and coach a team of data analysts and data engineers, fostering a collaborative and innovative team culture, guiding team members to excel and ensuring their growth and development.
• Champion for the use of data in making key business decisions. Drive the day-to-day analytical approaches and explore solutions to specific problems.
• Define the business questions that need to be answered and define appropriate analytics models in addition to identifying and readying relevant data sources for analysis.
• Develop training programs meant for improving leadership’s understanding of the use of data, to improve decision-making across the business. Lead data visualization and storytelling efforts to support decision-making.