Senior Analyst – Monitoring & Evaluation at Sanitas Health and Development Foundation (SANHDEF)

Job Summary

• The Senior Analyst – M&E will serve as the primary resource for data management, quality assurance, and basic performance visualization for the Kano Health Systems Strengthening (HSS) Project.
• This role is responsible for ensuring the consistency and integrity of all project data collected from the State, LGAs, and Health Facilities.
• The Analyst will focus on translating raw data into actionable insights for the technical team and supporting the MERL team in routine reporting and the tracking of project indicators.

Key Responsibilities

• Support the routine cleaning, verification, and validation of all project data inputs, including facility assessment data, training records, and HRH/PFM monitoring data.
• Conduct routine Data Quality Assessments (DQAs) at the State and LGA levels to ensure data accuracy, completeness, and timeliness, addressing the project's need for reliable evidence.
• Support the creation of data briefs and presentations for high-level State stakeholder meetings.
• Provide practical, hands-on guidance and training to junior staff or government counterparts on basic data entry, quality checks, and reporting procedures.
• Assist in the documentation of project processes and lessons learned by organizing field notes, meeting minutes, and feedback gathered from stakeholders.

Qualifications and Experience

• Bachelor’s Degree in Statistics, Public Health, Computer Science, or a related field.
• Minimum of 2-4 years of proven experience in a data analysis, monitoring, or statistical support role, preferably within the health sector.
• Proficiency in Microsoft Office Suite (Word, Excel, Outlook, PowerPoint).
• Familiarity with routine health information systems (HMIS, DHIS2) is an asset.
• Excellent written and verbal communication skills.

Desired Competencies:

• Meticulous attention to detail and a high standard for data accuracy and reliability.
• Strong logical and analytical skills to identify and troubleshoot data inconsistencies and reporting errors.
• Ability to clearly communicate data requirements and errors to field staff and provide hands-on coaching.
• Fluency in Hausa is essential for effective communication during field data verification visits.