Project HOPE Namibia (PHN) is an indigenous regional African NGO founded in 2004 with technical expertise in infectious diseases, maternal and child health, and economic strengthening with a programmatic presence across the continent. PHN has over 20 years’ experience implementing public health programming in Africa with demonstrated capacity to implement PEPFAR-funded OVC & DREAMS projects in Namibia and Malawi.

In Namibia, PHN was USAID’s lead partner for OVC and DREAMS programming since 2013 and 2018, respectively. PHN works in collaboration with local stakeholders, host government ministries, and other partners in countries of implementation to ensure implementation in accordance with the local context and with buy-in from the appropriate stakeholders.

Project HOPE Namibia – Malawi (PHN-MA), registered in Malawi in 2024, is currently implementing the Ana ndi Achinyamata Patsogolo (ANAPA) project in Malawi, a five-year, $60 million initiative funded by PEPFAR/USAID previously and now under the US Government’s Department of State (DoS).

Initially designed to prevent new HIV infections by increasing uptake of health, HIV, and social services among children, adolescents, and their families, with a particular focus, the project shifted focus following the stop work order. ANAPA now prioritizes the provision of life-saving HIV care and treatment services for vulnerable children.

It is against this background that Project HOPE Namibia-Malawi, a member of the Africa Public Health Network (APHN), seeks qualified Malawians to fill the following position under the ANAPA Activity:

Responsibilities or duties

The Monitoring, Evaluation, and Learning (MEL) Officer will ensure the district MEL-specific activities are executed as expected. S/he will conduct data analysis and advocate for data usage for performance measurement of HIV Prevention services within the district. He/she will train and mentor cluster and health facility-based data clerks, CCWs district and other health workers on monitoring and evaluation. He/she will support MEL activities at all ANAPA sites and catchment areas. He/she will be responsible for the district’s overall data management with guidance from the MEL Specialists.

• Collaborate with District Team Leads (DTL) to ensure timely data collection, analysis, and reporting for the ANAPA project.
• Support MEL activities at all ANAPA project sites within the district, including training, DQAs.
• Conduct site visits to support, validate and verify all project data at the site and catchment level with cluster and facility based DECs.
• Compile and submit weekly, monthly, quarterly, and annually to ANAPA DTLs and MEL team at the National Level.
• Coordinates routine data verification processes with catchment based DECs to ensure completeness, cleanliness, and accuracy, resolving discrepancies using standard procedures or addressing discrepancies in source documents.
• Verifies entered client/beneficiary data by reviewing, correcting, deleting, or re-entering data; eliminates data duplication per DHIS2 Tracker data quality rules.
• Regularly test DHIS2 Tracker system changes and upgrades by inputting new data and reviewing output in collaboration with Project HOPE’s MEL personnel.
• Serves as Point of Contact for DHIS2 Tracker and other MEL-related activities for the district.
• Attend project-related and district data review meetings.
• Is part of the District’s Continuous Quality Improvement/Management (CQI/M) team.
• Analyses data routinely and prepares a progress-to-target report for the District Team and other field staff as necessary.
• Support Research Knowledge Management and Learning Advisor in organizing data collection at the district level.

Qualifications or requirements 

• A Bachelor’s Degree in Public Health, Epidemiology, Statistics/Applied Mathematics and Statistics or related fields.
• Proven ICT skills in Microsoft Office and Database management on at least one of the following: Excel, EPI Info, SPSS, SAS, STATA, Power BI and web-based databases.
• Possess excellent communication, training, and facilitation skills.
• Typing and data entry skills, attention to detail, confidentiality, thoroughness, decision-making, independence, analyzing information, results-driven, motivated.

Experience needed

• At least 3 years of related work experience in M&E, data management and analysis in the health sector.
• Previous experience in DREAMS and OVC programs is an added advantage.

• Collaborate with District Team Leads (DTL) to ensure timely data collection, analysis, and reporting for the ANAPA project.
• Support MEL activities at all ANAPA project sites within the district, including training, DQAs.
• Conduct site visits to support, validate and verify all project data at the site and catchment level with cluster and facility based DECs.
• Compile and submit weekly, monthly, quarterly, and annually to ANAPA DTLs and MEL team at the National Level.
• Coordinates routine data verification processes with catchment based DECs to ensure completeness, cleanliness, and accuracy, resolving discrepancies using standard procedures or addressing discrepancies in source documents.
• Verifies entered client/beneficiary data by reviewing, correcting, deleting, or re-entering data; eliminates data duplication per DHIS2 Tracker data quality rules.
• Regularly test DHIS2 Tracker system changes and upgrades by inputting new data and reviewing output in collaboration with Project HOPE’s MEL personnel.
• Serves as Point of Contact for DHIS2 Tracker and other MEL-related activities for the district.
• Attend project-related and district data review meetings.
• Is part of the District’s Continuous Quality Improvement/Management (CQI/M) team.
• Analyses data routinely and prepares a progress-to-target report for the District Team and other field staff as necessary.
• Support Research Knowledge Management and Learning Advisor in organizing data collection at the district level.

• Proven ICT skills in Microsoft Office and Database management on at least one of the following: Excel, EPI Info, SPSS, SAS, STATA, Power BI and web-based databases.
• Excellent communication, training, and facilitation skills.
• Typing and data entry skills, attention to detail, confidentiality, thoroughness, decision-making, independence, analyzing information, results-driven, motivated.

• A Bachelor’s Degree in Public Health, Epidemiology, Statistics/Applied Mathematics and Statistics or related fields.