Digital Health et Data Analytics Associate Officer

How will you fight for an AIDS-free generation?

Job Summary:

The Digital Health and Data Analytics Associate Officer supports data collection, quality assurance, and data transmission processes to generate reliable insights for the organization. He/she serves as a key operational link between site-level data systems and the central database.

This role requires close collaboration with SI&E staff to ensure data quality, accuracy, and compliance with established standards.

No two days are alike at EGPAF, but what can you expect in this role?

Key Responsibilities and Accountabilities

Data Collection and Entry:

• Coordinate data collection from sites and ensure adherence to data submission schedules.
• Coordinate data entry checks and validate initial completeness.
• Maintain, update, and troubleshoot data systems in collaboration with technical teams.

Data Transmission and Data Synchronization:

• Coordinate the full data transmission and synchronization process.
• Support the verification of the completeness, accuracy, and quality of incoming data before use.
• Troubleshoot transmission issues and escalate complex problems to the IT/SI&E teams.
• Monitor and report key performance indicators (completeness, timeliness, accuracy).

Data Cleaning and Preparation:

• Identify and correct data quality issues (missing values, duplicates, inconsistencies).
• Prepare and transform datasets to support analysis.
• Develop and maintain data quality tools to detect and highlight inconsistencies.

Basic Data Analysis:

• Perform statistical analyses to support donor reporting and internal program needs.
• Assist in creating summary reports, visualizations, and charts to communicate insights to stakeholders.
• Produce insight‑driven analytical briefs when required.
• Monitor key data quality indicators and recommend corrective actions.

Support Data Projects:

• Lead the implementation and monitoring of selected digital health tools across project sites.
• Gather data requirements from stakeholders to understand their needs and support relevant analysis.
• Contribute to the development and refinement of SOPs, DQAs, and data governance processes.
• Support capacity building of site staff on data quality standards and digital health tools.