[Hiring] Data Quality Analyst @Imagine Worldwide

Role Description

The Data Quality Analyst focuses on data quality across Imagine’s data ecosystem. The role proactively monitors data from devices, programme systems, and field sources, builds and improves the checks that catch problems early, and investigates issues raised across the organisation. Where an issue requires deeper analysis, reporting changes, or engineering work, the role provides its findings and works with the relevant team member to resolve it.

Imagine’s data covers learning activity from tablets in more than 1,500 schools, along with programme, operational, and field data. Devices sync intermittently and sources don’t always agree, so checking data against what is happening in schools and in the field is central to the work.

The role reports to the Director of Analytics and works closely with the Data Scientist, who provides methodological support. It suits an analyst who enjoys tracing a problem back to its source and wants to keep developing in a small team. As they build context on Imagine’s data, the role takes on more ownership of the team’s data quality reporting and standards.

Key Responsibilities

• Data Quality Monitoring and Improvement
  • Identify risks and gaps before they affect reporting or decision-making.
  • Monitor the completeness, consistency, and plausibility of data across Imagine’s sources.
  • Design and implement data quality checks.
  • Develop tooling and automated monitoring that make data quality issues visible.
  • Reconcile figures across related sources and investigate discrepancies.
  • Contribute to the team’s data quality reporting, rules, and standards.
• Data Issue Investigation
  • Investigate data issues and trace them to their root cause.
  • Work with the Analytics Engineer, MEAL, and country teams to resolve issues at source.
  • Handle assigned data quality and data export requests.
  • Document findings and hand over issues that require deeper analysis.
  • Support the team’s data quality incident process.
• Communicating Findings
  • Write concise summaries of data issues and investigations.
  • Report on the state of data quality to the Analytics Team.
  • Use clear charts and tables to show the scope and impact of issues.
  • State data limitations plainly.
• Analytical Practice
  • Keep checks and analyses reproducible.
  • Follow the Analytics Team’s standards for code, documentation, and data use.
  • Use the team’s shared data models and agreed metric definitions as the starting point for analysis.
  • Ask for review of methods and conclusions from the Data Scientist and Director of Analytics.
  • Build a working knowledge of Imagine’s data, programmes, and operating contexts.
  • Handle sensitive data responsibly.

Qualifications

• A bachelor’s degree in Statistics, Mathematics, Economics, Data Science, Computer Science, or a related quantitative field, or equivalent practical experience.
• At least 3 years in a data analyst or closely related quantitative role.
• Experience monitoring, validating, or reconciling data.
• Experience working with imperfect real-world data.
• Experience building automated checks or reports.
• Experience communicating findings in writing to non-technical readers.
• Experience working with remote teams across multiple countries and time zones.
• Experience in the non-profit, international development, or social sector is an advantage but not a requirement.

Requirements

• Technical Skills: Core
  • Strong SQL, including joins, aggregations, and window functions.
  • Proficiency in at least one key programming language (such as Python).
  • Data profiling and validation techniques.
  • Applied statistics for identifying anomalies.
  • Clear data visualisation.
• Technical Skills: Strongly Preferred
  • Querying analytical or columnar databases.
  • Data quality testing frameworks.
  • Reproducible workflows using notebooks and Git.
• Technical Skills: Advantageous
  • An understanding of data pipelines and dbt-modelled data warehouses.
  • Field data collection tools.
  • BI tools for sharing data with stakeholders.

Benefits

• Salary is competitive and commensurate with experience.
• This is a full-time remote position; the role can be based anywhere in Africa with reliable internet access.
• The role may involve occasional international travel for in-person team meetings, field support, or training.