Job Title: Senior Monitoring, Evaluation, Research and Learning Officer
Company: Pact Nigeria
Job Type: Full Time
Qualification: MBA/MSc/MA
Location: Bayelsa, Nigeria
Job Field: Administration / Secretarial
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Pact Nigeria seeks for qualified candidate to fill the above mentioned position in the Abuja office. The
Senior Monitoring. Evaluation, Research and learning Officer will provide oversight on all MERL activities of the Community Based Prevention of Mother to Child Transmission of HIV (PROMOT) Project implemented by Pact Nigeria in Bayelsa state. The jobholder will ensure that monitoring systems meet the requirements of the donor and that performance results can be used for continuous improvement. The Senior MERl Officer will adapt existing Pact Nigeria monitoring tools, as well as propose new ways of measuring change through the use of both quantitative and qualitative data collection tools, analysis of secondary data, and, where appropriate, remote monitoring techniques. S/he will strengthen staff and partners capacity in qualitative and quantitative monitoring and evaluation tools through comprehensive staff training and coaching.
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Minimum Requirements: – Postgraduate or Master degree in development studies, research methods, statistics, social sciences, measurement and evaluation, project planning and management or other relevant field preferred. – Minimum 3-5 years of active M&E work experience in development programming required; ideal candidate will have both theoretical and practical background in M&E and skilled in qualitative and -quantitative M&E methodologies and techniques. – Knowledge of major aspects of program development, implementation and documentation as well as excellent verbal and written communication skills in English is required. – Excellent computer skills, including experience with: Excel, PowerPoint, Publisher, Epi-Info, Epi-Data, SPSS, Access, DHIS, SQl., and any other statistical packages. – Demonstrated understanding of intermediate and advanced statistics and the ability to summarize, generalize, and make predictions from large data sets.
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