Senior BI & Data Analyst

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 BI & Data Analyst is a core execution role within Imagine's Analytics Team, sitting at the intersection of two complementary functions: building the data infrastructure that makes organisational performance visible, and doing the analytical work that makes it meaningful. This is a hybrid role that requires genuine craft in both directions — strong candidates will be equally comfortable designing a dashboard for a country team as they are digging into an operational dataset to answer a specific business question.

The role is a key contributor to the Analytics Team's organisational mission: enabling data-driven decision-making across all of Imagine's functions and country teams. This spans a deliberately broad scope — programmes, fundraising, finance, HR, logistics, technology, and country-level delivery; reflecting Imagine's belief that both learning outcomes and operational effectiveness must be grounded in trusted, accessible data. 

The role reports to the Director of Analytics and works in close collaboration with the Analytics Engineer, who owns the underlying data models this role builds on top of, the Data Scientist, who leads impact evaluation and experimental design, and the MEAL (monitoring, evaluation, accountability, and learning) team, whose frameworks and indicators this role translates into accessible dashboards and reports. It is the primary interface between Imagine's data infrastructure and the organisation's day-to-day information needs — the person that function leads, country teams, and operational staff turn to when they need data to work for them.

Key Responsibilities

The Senior BI & Data Analyst's responsibilities are organised across four pillars, reflecting the hybrid nature of the role. The first two pillars ; dashboard and reporting ownership, and BI tooling advocacy, constitute the BI function: building, maintaining, and continuously improving the data infrastructure and tooling that the organisation depends on. The second two; stakeholder enablement and analytics execution, constitute the Data Analyst function: ensuring teams can use data confidently and bringing genuine analytical depth to organisational and operational questions.

Dashboard and Reporting Ownership

• Design, build, and maintain dashboards and automated reports serving all internal business functions and country teams, spanning a broad operational scope including school launch planning, programme monitoring, training delivery, time on task, equipment demand forecasting, inventory management, logistics, IT asset tracking, budget trends, cost efficiency, and staff performance.
• Develop and maintain reporting across four core areas:
  • • Learning outcomes and usage patterns 
    • Programme performance and delivery efficiency 
    • Organisational KPIs and MEAL indicators
    • Product and content improvement 
• Ensure all dashboards and reports are optimised for three distinct audience tiers: leadership and board, country teams, and global function leads, each with different data needs, levels of technical fluency, and decision-making contexts.
• Own KPI stewardship: maintain consistent metric definitions aligned to the organisation's single source of truth, flag definitional inconsistencies, and work with the Director of Analytics to resolve conflicts across teams.
• Contr