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. 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. Stakeholder Enablement and Data Literacy Deliver regular data fluency training sessions for function teams and country staff, covering dashboard navigation, metric interpretation, and data quality awareness, tailored to the technical fluency level of each audience. Produce and maintain clear, accessible documentation for all dashboards and data products, including data dictionaries, metric definitions, and user guides written for non-technical audiences. Run scheduled office hours for stakeholders to ask questions, explore data, and get support interpreting analytics outputs, reducing ad-hoc pressure on the broader Analytics team and building long-term self-sufficiency in data use. Support function leads and country teams in interpreting data for internal decision-making, acting as a trusted and accessible data partner across the organisation. Track and report on data literacy progress including, dashboard utilisation rates, self-service adoption, and training participation, providing visibility on where enablement efforts are having an impact and where gaps remain. Analytics Execution Conduct analyses of organisational KPIs, operational trends, and programme delivery performance to surface insights that support leadership decision-making, going beyond reporting what happened to offering a clear view of what it means. Translate analytical findings into clear narratives, visualisations, and recommendations tailored to the audience Produce data summaries and visualisations that feed into board reporting cycles, funder-facing data packages, and internal strategy reviews, ensuring outputs are accurate, compelling, and consistent with the organisation's single source of truth. Collaborate with the Data Scientist on data preparation, exploratory analysis, and visualisation of research outputs where relevant, supporting the translation of impact evaluation findings into accessible organisational insights. Approach the work with analytical curiosity, proactively looking for patterns, anomalies, and questions worth pursuing in operational data and bringing these to the Director of Analytics. Requirements The following qualifications and experience are required unless marked as preferred. Education Bachelor's degree in Data Science, Statistics, Information Systems, Computer Science, or a related quantitative field. Postgraduate qualification is preferred but not required. Demonstrated practical experience is weighted equally to formal credentials. Experience 5 to 7 years of experience in a BI analyst, data analyst, or closely related analytics role, with at least 2 to 3 years operating at a senior level. Demonstrated track record of building and maintaining dashboards and automated reports that are actively used by non-technical stakeholders across an organisation. Proven experience operating in an internal-services or business-partnering model, serving multiple teams or business units with different and competing data needs simultaneously. Comfortable working with impact metrics and performance data in a programme or delivery context, with the ability to translate operational data into meaningful organisational insights. Demonstrated contribution to data literacy and self-service adoption within an organisation, through training, documentation, or tooling improvements that measurably improved how teams use data. Technical Skills Strong SQL proficiency, including the ability to write complex queries against cloud data warehouse environments. Hands-on experience with at least one major BI tool such as Metabase, Superset, Tableau, or Power BI. Familiarity with cloud data warehouse environments such as ClickHouse, BigQuery, or Redshift. Experience consuming dbt-modelled data and working within a semantic layer. Strong data visualisation design skills with the ability to produce dashboards that are intuitive and appropriately tailored to their audience. Comfort with descriptive statistics and the ability to apply basic statistical reasoning to operational and organisational data. Data quality awareness, including the ability to identify inconsistencies, interrogate data pipelines, and flag issues to the Analytics Engineer. Proficiency in Google Sheets or Excel for stakeholder-facing data work. Python or R for ad-hoc analysis and reporting automation is preferred but not required. Familiarity with version control using Git for managing BI assets and documentation is preferred but not required. Compensation & Benefits Salary is competitive and commensurate with experience. Location The Senior BI & Data Analyst must be based in Africa. The role will frequently collaborate and coordinate with operations teams across Africa, the US, and the UK. This is a full-time remote position; the role can be based anywhere in Africa with reliable internet access and alignment with core working hours across time zones. The role is primarily home-based, with adhoc international travel for in-person team meetings, field support, or training, as needed. Must be comfortable working independently in a virtual environment and managing communication across global teams. Applications are reviewed on a rolling basis * * * Imagine Worldwide is proud to be an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.