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  • Posted: Jan 7, 2019
    Deadline: Jan 8, 2019
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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, Justice Ifeyinwa Nzeako, 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...
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    Project Research Field Supervisor/ Quality Control

    Location: Minna, Niger  Application Link

    Location  Lagos  Application Link

    Location   Kaduna Application Link

    Location  Abia  Application Link
    Job Type: Part-time

    Job-role
    The successful candidate will perform the following functions:

    • Provide supervision for the team of interviewers and ensure regular progress of data collection in the field.
    • Manage every questionnaire administration and interview session on the field.
    • Monitor data quality and provide for the regular transfer/upload of completed questionnaires to the central office/server.
    • Adhere to confidentiality procedures, policies when collecting, storing, and sharing data.

    Qualifications/Experience

    • Must possess a first Degree in any Social Sciences/ Health Sciences field of study and any other professional certificate or degree is an added advantage.
    • Must have minimum of three (3) years post NYSC working experience in monitoring and Evaluation.
    • Must be experienced with database management and table technology for data collection and monitoring purposes.
    • Must be computer proficient, including Microsoft Word and Excel applications
    • Must have experience in managing other research/monitoring and evaluation officers at a supervisory level.

    Skills and Competency required:

    • Excellent knowledge of field team supervision and ensure regular progress of data collection in the field.
    • Ability and experience in electronic data collection, edit every questionnaire/ interview in the field using tabs.
    • Manage/monitor data quality and ensure all interviewers meet their required daily quotas for upload.
    • Regular transfer/upload of completed questionnaires to the central office/server.
    • Must possess logical and analytical skills.
    • Must possess good writing and verbal communication skills.
    • Must be able to work effectively with others, as well as promote collaboration across multiple locations.
    • Strictly adhere to punctuality on the stipulated duration for data collection.
    • Must be computer proficient, including Microsoft Word and Excel applications and knowledge of ERP applications

    Method of Application

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