MSH, a global health nonprofit organization, uses proven approaches developed over 40 years to help leaders, health managers, and communities in developing nations build stronger health systems for greater health impact. We work to save lives by closing the gap between knowledge and action in public health. Since its founding in 1971, MSH has worked in over ...
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The objective of the M&E Officer position is to support data quality management, including data collection, quality checks, and reporting at the state, LGA and community levels as applicable.
Responsibilities
Support the M&E Manager in the implementation of M&E activities, including data collection, data quality checks, and reporting.
Provide support and build capacity of LGA and health facility M&E officers in data quality management
Participate and provide technical support in monthly LGA data validation meetings.
Conduct routine data quality assessments at health facilities in conjunction with LGA M&E officers
Support conduct of quarterly DQA exercise in primary and secondary health facilities across the state.
Review health facility data monthly to identify and address data quality issues prior to reporting.
Document data quality issues and share with the M&E team and health facilities for necessary corrections.
Develop follow up action plans and ensure that all identified data quality issues are resolved by the LGA M&E officers and HFs at the end of each reporting month
Where relevant, work with MERL Manager to ensure data are collated, analyzed, presented at review meetings.
Represent the programme in technical fora, such as M&E sub-committee meetings.
Any other task assigned
Qualifications
B.Sc. in Statistics, Mathematics, Computer Science or closely related discipline with a minimum of 4 years relevant experience.
A post-graduate degree in a related Medical Statistics and Epidemiology discipline is an added advantage.
Deep understanding and knowledge of M&E systems in Nigeria and/or comparable country contexts.
Familiarity with data validation tools
Excellent knowledge of use of DHIS2
Excellent computer skills, including in Excel and in at least one statistical software package, preferably Stata, alternatively SPSS or R; knowledge of other data software an advantage, such as mapping software
Demonstrated experience in managing program data, with a record of achieving programme objectives
Deep understanding and knowledge of health systems’ dynamics and challenges in data management
Excellent spoken and written English
Excellent report writing skills
Ability to work under pressure, flexible and open to extra working hours, if necessary.
Very good negotiation and communication skills and ability to express views and ideas
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