Monitoring, Evaluation Results and Learning Adviser – MERL at Society for Family Health (SFH)

Abuja

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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.

Application Closing Date
Not Specified.

How to Apply
Interested and qualified candidates should:
Click here to apply online