Malaria Consortium, established in 2003, is one of the world’s leading non-profit organisations specialising in the prevention, control and treatment of malaria and other communicable diseases among vulnerable populations. Our mission is to save lives and improve health in Africa and Asia, through evidence-based programmes that combat targeted diseases and promote universal health coverage.
We are recruiting to fill the position below:
Job Title: HMIS Officer
Location: Abuja (FCT)
Employment Type: Full-time
Job Description
Malaria Consortium is recruiting for a Health Management Information System (HMIS) Officer to join our team in Abuja, Nigeria.
The project relies on the HMIS data from health facilities in the intervention areas to demonstrate impact. However, the HMIS data as available on the DHIS2 platform have quality issues.
The Health Management Information System (HMIS) Officer will support the SMoH to improve on quality of data generated and uploaded on the DHIS2 platform.
S/he will assist and report to the M&E Specialist regarding using the HMIS data to evaluate SMC intervention in Nigeria.
The incumbent will work as part of the project team under the Technical Specialist overall leadership of Country Technical Coordinator for the attainment of the project goal.
The officer working under the line-management of the Technical Specialist and in close collaboration with SMC field staff (Cluster Supervisors and Field Officers), State, LGA, community actors, stakeholders and partners would deliver aspects of the project as per the specified job tasks and expected deliverables.
The position holder will work closely with focal persons for SMoH HMIS and other partners working on HMIS in supported states.
Technical contributions (90%):
Assess the HMIS of each of supported states to identify data quality gaps and develop a quality improvement plan to address identified issues
Support the selection of model health facilities to receive focused intervention and serve as model health facilities for impact analysis for SMC project
Plan and implement HMIS activities such as data validation, Data Quality Assessment (DQA), coordination meetings, capacity building in data quality and coordinate supportive supervisory visit by MC field staff (Cluster Supervisors and Field Officers) to strengthen health management information system in SMC project-supported health facilities.
Provide technical assistance to the NMEP/SMEP in the use and management of HMIS tools and DHIS2;
Support the implementation of the HMIS at field level by leading on users’ capacity building and delivery of in-country training on a variety of HMIS topics and provide supportive supervision as a continuous learning opportunity for MC field staff and LGA stakeholders
Ensure high quality data are available on a regular and timely basis for programmatic decision making through data validation and DQA processes
Conduct a regular check of the completeness and timeliness of state and national malaria data in DHIS2 and flag areas of gap and follow up with the states and NMEP and support the states to incorporate corrections from DQA findings in the data on the DHIS2 platform;
Manage the data collection and management processes from selected health facility HMIS records and DHIS2 platform monthly.
Program Management (5%):
Support NMEP and SMoH to ensure implementation of the data quality improvement plan
Support NMEP in her efforts to create a repository for campaign data on DHIS2 platform.
Representation (5%):
Participate in events/ meetings related to HMIS at national level
Actively participate in the M&E Community of Practice of MC.
Requirements
Degree in statistics, demography, mathematics or related discipline
A minimum of 4 years post qualification
Experience in managing HMIS as well as familiarity with Nigerian public sector health systems
Experience in DQA and data quality improvement approaches
Work-based skills and competencies:
Essential:
A solid understanding of health systems strengthening
Proficiency in database management especially DHIS; Excel, Word, PowerPoint and demonstrable experience with statistical software packages (Stata, SPSS, Epi Info)
Strong analytical skills and experience interpreting a strategic vision into an operational model
Proven writing, communication and presentation skills in English
A collaborative and flexible style, with a strong service mentality
Facilitation and coordination skills
The ideal candidate must be attentive to detail, highly organised, flexible and self-motivated with excellent communication skills in written and oral communication
He/she must clearly display the ability to effectively prioritise and perform tasks to meet tight deadlines.