Data Quality Analyst

Location: Remote; must be based anywhere in Africa with reliable internet access and alignment with core working hours across time zones. Occasional international travel may be required for in-person team meetings, field support or training.

Company

hirify.global is a nonprofit education technology organization providing scalable, evidence-based literacy and numeracy learning through the onebillion application and supporting implementation systems.

What you will do

• Monitor completeness, consistency and plausibility across device, programme, operational and field data sources, identifying risks before they affect reporting or decisions.
• Design and implement data quality checks, controls and automated monitoring with the Analytics Engineer.
• Reconcile related sources, investigate discrepancies and trace data issues to their root causes across source systems, pipelines and data models.
• Work with the Analytics Engineer, MEAL and country teams to resolve issues, handle data quality and export requests, and support incident investigations.
• Communicate causes, impacts, limitations and recommended actions through concise written summaries, charts and tables.
• Maintain reproducible analyses using version-controlled code and notebooks, follow data standards, and handle sensitive data responsibly.

Requirements

• Bachelor’s degree in Statistics, Mathematics, Economics, Data Science, Computer Science or a related quantitative field, or equivalent practical experience.
• At least 3 years of experience in a data analyst or closely related quantitative role.
• Experience monitoring, validating or reconciling data and tracing issues back to their source.
• Experience working with imperfect real-world data, including missing records, inconsistent sources or late-arriving data, and explaining the effect on results.
• Experience building automated checks or reports that others rely on, and communicating findings in writing to non-technical readers.
• Experience working with remote teams across multiple countries and time zones.
• Strong SQL, including joins, aggregations and window functions across large tables.
• Proficiency in at least one key programming language, such as Python, for automation, data analysis and reproducible research.
• Data profiling and validation techniques; applied statistics for identifying anomalies, distributions, outliers and trends; and clear data visualisation.

Nice to have

• Experience in the non-profit, international development or social sector.
• Experience querying analytical or columnar databases such as ClickHouse, BigQuery, Snowflake or Redshift.
• Experience with data quality testing frameworks such as dbt tests, Great Expectations or Soda.
• Reproducible workflows using notebooks and Git.
• Understanding of data pipelines and dbt-modelled data warehouse structures.
• Experience with education, programme monitoring or field survey data.
• Experience with field data collection tools such as CommCare, ODK or KoboToolbox.
• Experience with BI tools such as Apache Superset, Metabase or Power BI, and spreadsheet tools for sharing data with stakeholders.

Culture & Benefits

• Full-time remote work from anywhere in Africa with reliable internet access.
• Collaboration with operations teams across Africa, the US and the UK.
• Independent work in a virtual environment with coordination across global teams.
• Occasional international travel for team meetings, field support or training.
• Salary is competitive and commensurate with experience.

Hiring process

• Applications are reviewed on a rolling basis.