[Hiring] Senior BI & Data Analyst @Imagine Worldwide

Role Description

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.

This is, fundamentally, a role where things get built: the dashboards, reports, and analytical outputs that enable rigorous, evidence-based decision-making across Imagine's global programmes.

The role reports to the Director of Analytics and works in close collaboration with the Analytics Engineer, Data Scientist, and the MEAL team.

Key Responsibilities

• Dashboard and Reporting Ownership:
  • Own the full lifecycle of Imagine's organisational dashboards and automated reports.
  • Design, build, and maintain dashboards and automated reports serving all internal business functions and country teams.
  • 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.
  • Own KPI stewardship: maintain consistent metric definitions aligned to the organisation's single source of truth.
  • Contribute data outputs to funder, government, and external reporting cycles.
  • Manage the dashboard and reporting backlog within your domain.
• BI Tooling Advocacy and Self-Service Enablement:
  • Define and maintain best practices for BI tool use across the organisation.
  • Continuously improve self-service analytics capability.
  • Monitor dashboard utilisation and self-service adoption across teams.
  • Work closely with the Analytics Engineer to ensure data models and the semantic layer are structured intuitively.
  • Evaluate and recommend improvements to BI tooling.
• Stakeholder Enablement and Data Literacy:
  • Deliver regular data fluency training sessions for function teams and country staff.
  • Produce and maintain clear, accessible documentation for all dashboards and data products.
  • Run scheduled office hours for stakeholders to ask questions and explore data.
  • Support function leads and country teams in interpreting data for internal decision-making.
  • Track and report on data literacy progress.
• Analytics Execution:
  • Conduct analyses of organisational KPIs, operational trends, and programme delivery performance.
  • Translate analytical findings into clear narratives, visualisations, and recommendations.
  • Produce data summaries and visualisations for board reporting cycles and internal strategy reviews.
  • Collaborate with the Data Scientist on data preparation and exploratory analysis.
  • Approach the work with analytical curiosity.

Qualifications

• Bachelor's degree in Data Science, Statistics, Information Systems, Computer Science, or a related quantitative field.
• Postgraduate qualification is preferred but not required.
• 5 to 7 years of experience in a BI analyst, data analyst, or closely related analytics role.
• Demonstrated track record of building and maintaining dashboards and automated reports.
• Proven experience operating in an internal-services or business-partnering model.
• Comfortable working with impact metrics and performance data.
• Demonstrated contribution to data literacy and self-service adoption.
• Experience working with remote or hybrid teams across multiple countries and time zones.
• Experience in the non-profit, international development, or social sector is an advantage.

Requirements

• Strong SQL proficiency.
• 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.
• Strong data visualisation design skills.
• Comfort with descriptive statistics.
• Data quality awareness.
• Proficiency in Google Sheets or Excel.
• Python or R for ad-hoc analysis is preferred.
• Familiarity with version control using Git is preferred.

Benefits

• Salary is competitive and commensurate with experience.
• This is a full-time remote position; the role can be based anywhere in Africa.
• Must be comfortable working independently in a virtual environment.