ROLES AND PURPOSE
The primary objective of the Data Officer is to conduct a thorough audit of all project data to ensure its integrity and consistency.

Verify the accuracy of data entries and ensure they align with the established data collection protocols.
Analyzing data for accuracy, completeness, and consistency, cross-checking data against source documents and identify any discrepancies or errors, with review for data consistency and follow up for clarification or correction.
Identifying data quality issues, discrepancies, and inconsistencies, documenting them, and reporting to the project management team.
Validate data completeness to ensure all relevant information has been captured appropriately and query any incomplete data submission.
Generate a comprehensive report detailing the findings of the audit, along with recommendations for data quality improvement.
Review and familiarize self with the project’s targets and deliverables and project's data collection procedures, tools, and databases.
Conducting regular data validation and verification checks of project data entries.
Proven experience in data auditing, data analysis, or data quality assurance within the healthcare or development sector.
Familiarity with TB programs, HIV/AIDs or public health projects is an advantage.
Proficiency in data management tools, data analysis software, and database systems.
Strong analytical skills with an eye for detail and accuracy.
Ability to write detailed monthly data audit reports, including findings, observations, and recommendations and with presentation of the audit report to the project management team.
Proficiency using MS Windows and MS Office packages (Excel, Word, PowerPoint), especially in Excel is a Must Have.
Experience using data collecting apps, especially Google forms, Kobo Collect and Google Maps will be taken into consideration.
Salary is competitive and negotiable but commensurate with experience and educational background.
At least five years’ experience in basic data management skills.
  • Data
  • Business Analysis and AI