Monitoring, Evaluation Results and Learning Adviser – MERL 125 views0 applications


Society for Family Health (SFH) is a Nigerian non-governmental organisation (NGO) working in partnership with communities, government, donors and the private sector for universal health coverage and social justice of all Nigerians.

We are recruiting to fill the position below:

Job Title: Monitoring, Evaluation Results and Learning Adviser – MERL

Location: Abuja
Employment Type: Full-time
Industry: NGO/Social Services

Job Description
The successful candidate will be expected to perform the following functions;

  • Documentation and generation of programme knowledge products.
  • Knowledge management (MEAL)
  • External facing technical reporting, and development of scientific abstracts and manuscripts.
  • Facility Team learning to improve programme design and implementation.

Requirements
All interested candidates will be required to possess the following qualifications;

  • Master’s Degree in Sociology, Public health, Statistics, Public Policy, Demography & Social Statistics.
  • Professional training in Project Management, Research, Monitoring & Evaluation.
  • Five years of Hands-on experience supporting donor funded projects in Nigeria and managing a demanding workload to assist country level senior leadership objectives.
  • Leading in the delivery of results, learning and knowledge products generation, capacity building including knowledge management framework and plan.
  • Strengthening of Monitoring & Evaluation, Knowledge Management and Learning system.
  • Ability to document lessons from project results and share the same technical reports, scientific abstracts, and manuscripts for sharing lessons at conferences and publications in peer-reviewed journals.
  • Experience in implementation science and strong research skills.

Technical Attributes:

  • Expert in technical reports generation/presentation for high caliber audience.
  • Versed in technical publications, scientific papers/manuscripts, briefs and abstracts.
  • Experienced in organizing and leading knowledge sharing strategies/events.
  • Skilled in documentation and packaging of progamme learning for external audience.
  • Qualitative and quantitative research skills.
  • Use of statistical packages such as SPSS, STATA, Epi-Info, Ethnograph/Nvivo as well as the application of statistics to programming.
  • Vast understanding and use of Kobo collect and Power Bi/Data visualisation
  • Use of Data to action for programming.

More Information

  • Job City Abuja
  • This job has expired!
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Society for Family Health is one of Nigeria’s largest non-governmental organisations. Founded in 1985 by three eminent Nigerians: Professor Olikoye Ransome-Kuti (late), Justice Ifeyinwa Nzeako (late), Pharmacist Dahiru Wali and Phil Harvey.Society for Family Health Nigeria has a mission to empower Nigerians, particularly the poor and vulnerable to lead healthier lives.Working with the private and public sectors, SFH adopts social marketing and behaviour change communication to improve access to essential health information, services, and products to motivate the adoption of healthy behaviours.By 2017, SFH will be a strong, vibrant, highly efficient organisation conducting value for money (efficient) scalable yet focused interventions. Using a total market approach (using social marketing, free distribution and cost recovery services) SFH will be implementing projects that will target:50% of the burden of disease in Nigeria 50% of persons within the lower 3 wealth quintiles, who will have access to SFH products or interventions A 5% increase in DALYs yearly with 2012 as the baseline SFH will also have a 10% decrease in cost per DALY averted over the period of 2013-2017 using the 2012 value as deadline, and will have generated a 20% increase in unrestricted funds by 2017 compared to 2012. SFH will have developed a plan to spin off a subsidiary conducting logistics, research training, costs recovery products and specific interventions aimed at the for-profit sector including the oil and manufacturing sectors.

0 USD Abuja CF 3201 Abc road Full Time , 40 hours per week Society for Family Health (SFH)
Society for Family Health (SFH) is a Nigerian non-governmental organisation (NGO) working in partnership with communities, government, donors and the private sector for universal health coverage and social justice of all Nigerians.
We are recruiting to fill the position below:Job Title: Monitoring, Evaluation Results and Learning Adviser - MERLLocation: Abuja Employment Type: Full-time Industry: NGO/Social Services
Job Description The successful candidate will be expected to perform the following functions;
  • Documentation and generation of programme knowledge products.
  • Knowledge management (MEAL)
  • External facing technical reporting, and development of scientific abstracts and manuscripts.
  • Facility Team learning to improve programme design and implementation.
Requirements All interested candidates will be required to possess the following qualifications;
  • Master’s Degree in Sociology, Public health, Statistics, Public Policy, Demography & Social Statistics.
  • Professional training in Project Management, Research, Monitoring & Evaluation.
  • Five years of Hands-on experience supporting donor funded projects in Nigeria and managing a demanding workload to assist country level senior leadership objectives.
  • Leading in the delivery of results, learning and knowledge products generation, capacity building including knowledge management framework and plan.
  • Strengthening of Monitoring & Evaluation, Knowledge Management and Learning system.
  • Ability to document lessons from project results and share the same technical reports, scientific abstracts, and manuscripts for sharing lessons at conferences and publications in peer-reviewed journals.
  • Experience in implementation science and strong research skills.
Technical Attributes:
  • Expert in technical reports generation/presentation for high caliber audience.
  • Versed in technical publications, scientific papers/manuscripts, briefs and abstracts.
  • Experienced in organizing and leading knowledge sharing strategies/events.
  • Skilled in documentation and packaging of progamme learning for external audience.
  • Qualitative and quantitative research skills.
  • Use of statistical packages such as SPSS, STATA, Epi-Info, Ethnograph/Nvivo as well as the application of statistics to programming.
  • Vast understanding and use of Kobo collect and Power Bi/Data visualisation
  • Use of Data to action for programming.
2025-07-26

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