Data Analyst at SafeStart – Remote (Nigeria or South Africa)

SafeStart is hiring a remote Data Analyst based in Nigeria or South Africa to maintain field-data systems, analyse programme performance and support monitoring, evaluation and donor reporting. The position reports to a co-founder and accommodates complementary strengths in statistical analysis, monitoring and evaluation or data engineering.

SafeStart welcomes candidates with stronger analysis and evaluation skills even if they are less experienced with its Supabase backend; stable data-engineering tasks may be shared or outsourced as appropriate.

Data pipelines and infrastructure

• Maintain SurveyCTO-to-Supabase (PostgreSQL) data flows and the distinction between raw and cleaned data.
• Maintain automated Python data cleaning orchestrated through n8n and version-controlled deployment processes.
• Keep reference datasets for communities, agents and staff synchronised and manage SurveyCTO XLSForms.
• Configure alerts through n8n for issues affecting field data or programme delivery.

Monitoring and evaluation

• Oversee monitoring tracks, field verification sampling, audit tasks and change-request reviews.
• Contribute to study design, programme indicators and statistical analyses, including ANCOVA where appropriate.
• Coordinate validation and entry of paper-collected data into digital systems.

Analysis and communication

• Check field submissions for missing, inconsistent or implausible records and flag concerns.
• Produce verified datasets, recurring M&E reports and reproducible data-change histories.
• Investigate anomalies, detect programme trends and create Power BI dashboards and visual summaries.
• Prepare analytical outputs for donors, leadership and programme decision-making.

Essential requirements

• Bachelor’s degree or higher in Statistics, Data Science, Economics, Epidemiology, Computer Science or another quantitative field.
• Proficiency in Python or R, including data manipulation and scripting.
• Understanding of relational data models and at least one database system.
• Advanced Excel skills, including complex formulae and multi-sheet workbooks.
• Clear communication with technical and non-technical colleagues, meticulous attention to data quality, flexibility and independent problem-solving.

Desirable skills

• SurveyCTO, ODK, KoboCollect or similar field-collection platforms.
• Supabase, PostgreSQL, n8n, Power BI, CI/CD systems and GitHub Actions.
• Experience in WASH, public health, international development, evaluation or statistics such as ANCOVA and power calculations.