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.
• Contribute data outputs to funder, government, and external reporting cycles, ensuring that the Development & Communications team has accurate, up-to-date organisational data to activate for donor-facing materials.
• Manage the dashboard and reporting backlog within your domain, executing requests routed from the Director of Analytics and communicating delivery status directly with requesting stakeholders.

BI Tooling Advocacy and Self-Service Enablement

• Define and maintain best practices for BI tool use across the organisation, covering dashboard design standards, naming conventions, data refresh schedules, and access management.
• Continuously improve self-service analytics capability by building views, templates, and guided interfaces that enable function teams and country staff to answer routine questions independently.
• Monitor dashboard utilisation and self-service adoption across teams, identifying where data resources are underused and taking targeted action to improve uptake through training, tooling improvements, or direct engagement with team leads.
• Work closely with the Analytics Engineer to ensure data models and the semantic layer are structured in ways that support intuitive, performant BI tool queries, providing feedback on model design from an end-user perspective.
• Evaluate and recommend improvements to BI tooling as Imagine's data maturity grows, bringing forward proposals with clear rationale and organisational fit assessment.

• 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.
• Contribute data outputs to funder, government, and external reporting cycles, ensuring that the Development & Communications team has accurate, up-to-date organisational data to activate for donor-facing materials.
• Manage the dashboard and reporting backlog within your domain, executing requests routed from the Director of Analytics and communicating delivery status directly with requesting stakeholders.
• Define and maintain best practices for BI tool use across the organisation, covering dashboard design standards, naming conventions, data refresh schedules, and access management.
• Continuously improve self-service analytics capability by building views, templates, and guided interfaces that enable function teams and country staff to answer routine questions independently.
• Monitor dashboard utilisation and self-service adoption across teams, identifying where data resources are underused and taking targeted action to improve uptake through training, tooling improvements, or direct engagement with team leads.
• Work closely with the Analytics Engineer to ensure data models and the semantic layer are structured in ways that support intuitive, performant BI tool queries, providing feedback on model design from an end-user perspective.
• Evaluate and recommend improvements to BI tooling as Imagine's data maturity grows, bringing forward proposals with clear rationale and organisational fit assessment.

• Dashboard design
• Data analysis
• Reporting
• BI tooling
• Stakeholder enablement
• Data infrastructure
• Data modeling
• Metric definition
• Self-service analytics

• 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.
• Ability to work closely with the Analytics Engineer, Data Scientist, and MEAL team.
• Experience in designing, building, and maintaining dashboards and automated reports.
• Experience in developing and maintaining reporting across core areas such as learning outcomes, programme performance, organisational KPIs, and product improvement.
• Experience in optimizing dashboards for different audience tiers.
• Experience in KPI stewardship and metric definition.
• Experience in managing dashboard and reporting backlogs.
• Experience in defining and maintaining best practices for BI tool use.
• Experience in improving self-service analytics capabilities.
• Experience in monitoring dashboard utilization and self-service adoption.
• Experience in providing feedback on data model design.
• Experience in evaluating and recommending improvements to BI tooling.