Swahilipot Hub Foundation
Data Administrator
Programme: MERL
Location: Mombasa, Kenya
Duration: 1 Year (with possibility of extension)
Reporting To: MERL Coordinator
Direct Reports: None
About Swahilipot Hub
Swahilipot Hub Foundation is a non-profit organization founded in 2016 by Mahmoud Noor, nurturing youth talents in technology and creatives/arts through youth-led programs and community spaces for co-working, meeting, networking, and learning.
Position Overview
The Data Administrator supports the MERL team by ensuring accurate data collection, management, analysis, and reporting for SPH’s programmes.
Scope of Role
Manage day-to-day data systems and processes within the MERL framework, supporting programmes like Case Management, Data Science, Health, Manufacturing, Entrepreneurship, Hospitality & Tourism, and Youth Hub Network.
Responsibilities
- Develop and implement data management systems for accuracy and consistency.
- Support data analysis for programme performance reviews.
- Ensure data integrity through audits and validation checks.
- Assist in capacity building for staff, interns, and volunteers in data management.
- Collaborate with programme teams to align data with objectives.
- Document data management processes and lessons learned.
- Manage relational databases (e.g., MySQL, PostgreSQL, SQL Server).
- Understand data governance, privacy, and security frameworks.
Key Areas
- Develop and implement data management systems.
- Support data analysis for programme performance.
- Ensure data integrity through audits and validation.
- Assist in capacity building for data management.
- Collaborate with programme teams on data alignment.
- Document data processes and lessons learned.
- Manage relational databases.
- Understand data governance and privacy frameworks.
Qualifications
- Bachelor’s degree in Data Science, Statistics, Information Management, or related field.
- At least 2 years of experience in data management, preferably in NGO/development sector.
- Strong knowledge of data collection, quality assurance, and reporting.
- Proficiency in Excel, SPSS, or STATA.
- Excellent organizational and communication skills.
Skills
- Attention to detail
- Problem-solving
- Time management
- Capacity building
Application Details
Deadline: 6th June, 2025
Submission: Cover letter, CV, and three professional referees
Note: Only shortlisted candidates will be contacted
