Health Data and Supply Chain Officer

We envision a world in which all people have access to high quality and enduring solutions to improve and maintain their health and well-being. MCD aspires to be a premier partner of choice and an internationally recognized leader, innovator, and trusted partner in applied, cross-national public health solutions. Our mission is to improve the health and well-being of people worldwide through enduring, high-quality, cost-effective, and universally accessible public health solutions. 

The Health Data and Supply Chain Officer leads the use of routine data for operational and strategic decision-making, the production of automated reporting that programme and government teams rely on, and the data and process management of the national supply chain for malaria drug and diagnostic commodities. The incumbent maintains and supports the existing health information infrastructure, including DHIS2, and ensures data moves reliably in and out of national systems. S/he works in close collaboration with the Director of Health Information Systems (HIS) at the Ministry of Health and Social Welfare and other Ministry of Health (MOH) programs to strengthen the analysis and use of data in national health information systems. The role requires strong technical expertise in data management and analysis, combined with the ability to build capacity among national staff and support high-level strategic initiatives. Working under the guidance of the MEL Advisor, this position plays a crucial role in strengthening national health information systems and building capacity for data-driven decision making.  

Division:  International Programs 

Position Title:  Health Data and Supply Chain Officer 

Project: Bioko Island Malaria Elimination Project (BIMEP) 

Location: Bioko Island, Equatorial Guinea 

Grade: 5 

Reporting Relationship: Monitoring, Evaluation, and Learning (MEL) Advisor 

Key Responsibilities 

Data Use and Decision Support 

• Turn routine program and surveillance data into operational and strategic action, working with program leads to ensure that what the data shows results in a decision or a change in practice. 

• Design, build and maintain automated reports and dashboards that program, government and field teams use in their routine work, replacing manual report production where it slows decision-making. 

• Automate the reporting processes that link program teams, so that data produced by one team feeds the reports another team depends on without manual handoffs. 

• Beyond dashboard production and reporting, the incumbent must carry analysis through to identifying problems, generate possible solutions, and implement the selected solution. Identifying a gap, such as a projected stockout or a drop in facility reporting, incumbent bears the responsibility to follow it to an action and confirm the situation has been corrected or positively changed. 

National Malaria Commodity Supply Chain (Data and Process Lead) 

• Lead the data and process management of the national supply chain for malaria drug and diagnostic commodities, that is the antimalarial drugs and rapid diagnostic tests distributed to health facilities through ARBIMed, maintaining visibility of stock levels and consumption across facilities. 

• Own the projected-stockout signal and act on it, driving the resupply process and escalating ahead of a stockout so that a facility does not run out while stock sits in the central warehouse. 

• Direct the team that delivers these commodities to facilities, coordinating distribution so it follows the resupply decisions taken from the data. 

• Triangulate commodity consumption and distribution against routine facility data to find leakage, reporting gaps and departures from treatment guidelines, and raise these for correction. Procurement and warehouse functions remain with their respective owners; this position is accountable for the data and the process that drive them. 

Health Information Systems Stewardship and DHIS2 Support 

• Maintain and support the existing DHIS2 instance and wider health information infrastructure, keeping data flowing reliably in and out and supporting the Ministry of Health on DHIS2 management and deployment:  

• Design and configure DHIS2 system architecture, data collection, validation and reporting tools in coordination with MOH stakeholders 

• Manage system updates and improvements 

• Support integration of vertical programs into DHIS2 

• Establish and oversee processes to ensure the quality of data (including routine health facility, commodity distribution and campaign data) used to identify and respond to strategic or operational gaps 

• Conduct analyses of routine health facility, commodity distribution and consumption, and campaign data to support operational decision-making, including: 

• Outbreak identification and response 

• Triangulation of commodity consumption, distribution and routine health facility data to identify gaps in commodity management and adherence to national guidelines 

National Health Information System Strengthening 

• Build capacity in DHIS2 use and management:  

• Develop and implement a plan to build the capacity of district health teams in the analysis and use of data in decision-making, in coordination with MOH stakeholders 

• Provide technical support to system users across all health programs 

• Support the Director of HIS at the Ministry of Health:  

• Attend regular coordination meetings 

• Provide technical inputs on system development 

• Support strategic planning for HIS 

• Assist in developing national HIS policies and procedures 

• Serve on the National HIS Technical Working Group 

• Coordinate with other MOH programs:  

• Support integration of program-specific indicators 

• Help standardize data collection methods 

• Assist in harmonizing reporting requirements 

• Facilitate data sharing between programs 

Technical Support & Data Management 

• Lead advanced data analysis activities:  

• Conduct complex statistical analyses using R, STATA, and other tools 

• Perform time series analyses of health indicators 

• Develop predictive models for disease surveillance 

• Create automated analytical routines 

• Generate program performance metrics 

• Support impact evaluation studies 

• Develop and maintain analytical databases:  

• Create data cleaning and validation procedures 

• Implement data quality monitoring systems 

• Maintain data dictionaries and documentation 

• Ensure proper data backup and security 

• Support research and publication activities:  

• Assist in study design and implementation 

• Conduct literature reviews 

• Perform statistical analyses for publications 

• Help prepare manuscripts and presentations 

• Support submission to peer-reviewed journals 

• Assist in responding to reviewer comments 

Capacity Building & Knowledge Transfer 

• Design and implement comprehensive training programs:  

• Develop curriculum for different skill levels 

• Create hands-on training exercises 

• Prepare training materials in Spanish and English 

• Conduct regular training sessions 

• Evaluate training effectiveness 

• Build analytical capacity among national staff:  

• Teach statistical analysis methods 

• Train in data visualization techniques 

• Provide mentorship in research methods 

• Support scientific writing skills development 

• Guide staff in presentation preparation 

• Document processes and create learning resources:  

• Develop standard operating procedures 

• Create user manuals and guides 

• Maintain technical documentation 

• Build knowledge management systems 

• Establish best practice guidelines 

• Support national staff training in data management:  

• Develop training materials 

• Conduct workshops and training sessions 

• Provide ongoing technical support 

• Document best practices 

• Participate in professional development activities:  

• Engage in advanced MEL training 

• Develop leadership skills 

• Build expertise in research methods 

• Contribute to scientific publications 

Program Support & Coordination 

• Support MEL Advisor in program implementation:  

• Assist with work plan development 

• Help coordinate team activities 

• Support quality improvement initiatives 

• Contribute to technical reports 

• Assist with operational research:  

• Support study design and implementation 

• Help with data collection and analysis 

• Contribute to manuscript preparation 

• Support research documentation 

Stakeholder Engagement 

• Support relationships with technical partners 

• Participate in coordination meetings 

• Assist in technical working groups 

• Help maintain partner communications 

• Support capacity building initiatives 

Required Qualifications 

• Master's degree required in Public Health, Computer Science, Information Systems, Biostatistics, or related field 

• Minimum 3 years experience in health information systems implementation 

• Experience must go beyond production of dashboards and reports to include demonstrated experience using routine data to drive specific operational actions, with concrete examples of a decision made or a process changed as a result. 

• Experience managing the data and process side of a commodity or health supply chain, including stock and consumption monitoring and acting on projected stockouts; familiarity with inventory systems such as ARBIMed an advantage 

• Experience maintaining and supporting DHIS2 or comparable health information platforms, including reliable data exchange in and out of national systems 

• Advanced programming skills in R, Python, or similar languages 

• Strong database management skills (SQL, PostgreSQL) 

• Experience with statistical software (R, STATA) 

• Proven experience in data analysis and visualization (Power BI, Tableau) 

• Knowledge of GIS and spatial analysis 

• Experience in capacity building and training 

• Track record of contributing to technical publications 

• Excellent written and verbal communication skills in English and Spanish 

• Strong analytical and problem-solving abilities 

Technical Skills 

• Advanced proficiency in:  

• DHIS2 configuration and customization 

• Database design and management 

• Statistical analysis and modeling 

• Data visualization and dashboard development 

• Programming (R, Python, SQL) 

• GIS tools and spatial analysis 

• Research methods and study design 

• Technical writing and documentation 

• Working knowledge of:  

• Health system strengthening approaches 

• Public health surveillance methods 

• Monitoring and evaluation frameworks 

• Data quality assessment techniques 

• Training and capacity building methods 

• Scientific publication process