Part Time Enumerator - Kenya, Dadaab ( Six months Fixed Term Contract) at Village Enterprise

Job Description

Key Result Areas

• Data collection on the program and all studies as designed by the M&E Team
• Business and BSG spot-checks
• Monthly reports on key findings in the field
• Attend all trainings as will be required by the M&E team.
• Data entry as may be required by the M&E team.
• Community liaison
• Safeguarding
• Data collection expectations:
• Supply accurate data collected from the field, at baseline, midline and end line as required by the M&E Team.
• Provide weekly reports on any challenges encountered during the process of data collection.
• Share best practices seen in the field for program improvement.
• Upload data immediately.
• Double-checking and synchronizing all collected data on a daily basis.
• Business and BSG Spot-check Expectation:
• Conduct BSG and Business spot-checks as allocated by the M&E Team.
• Monthly reports Expectations:          
• Supply accurate monthly reports to the M&E Team
• Data entry expectations:
• Enter accurate and reliable information. Falsified Information is means for immediate dismissal
• Submit and upload data in a timely manner
• Community Liaison:
• Expected to represent the interest of the organization at all times in a professional manner
• Expected to explain to any Government official that they may meet what Village Enterprise does and what role they are playing in this specific community.
• Safeguarding: "Safeguarding at VE is everyone’s responsibility"
• Continuously sensitize program participants about possible risks of child abuse, sexual/financial exploitation, prevention and response mechanisms.
• Ensure compliance with VE’s safeguarding policies and Code of Conduct in all programs, operations and practices.
• Report any incident of child or adult safeguarding in program operations for appropriate action and follow up.

Requirements

Qualifications:

• Minimum of Diploma in any discipline with prior experience/exposure in research disciplines.
• Understanding of the elements of data quality.