At a glance
- Closing date
- The listing does not give one. Employers often close early when they have enough applicants, so apply soon.
- Where
- Nigeria, Nigeria
- How to apply
- On myjobmag.com, where the employer takes applications.
- Similar roles
- 23 other open Research & Development roles on the Nigeria board right now.
- This employer
- Evidence Action has 12 open roles on RezSync.
About the Talent Pool
Evidence Action is building a Talent Pool of qualified Field Enumerators to support upcoming Monitoring, Learning, and Evaluation (MLE) activities under the Small-Quantity Lipid-Based Nutrient Supplements (SQ-LNS) program.
By joining our Talent Pool, you will be considered for future short-term field assignments as project needs arise. Placement into the Talent Pool does not constitute an offer of employment or guarantee deployment.
Candidates may be contacted and engaged based on project requirements, location, availability, and successful completion of any required assessments or training.
Job purpose
When engaged, Field Enumerators will support the implementation of SQ-LNS monitoring and evaluation activities by collecting high-quality data from health facilities, reviewing programme records, and conducting interviews with health workers and other relevant stakeholders.
The data collected will contribute to programme monitoring, learning, decision-making, and continuous programme improvement.
Eligible Locations:
We are currently seeking candidates who reside in any of the following states:
Adamawa
Bauchi
Gombe
Jigawa
Kaduna
Kano
Kebbi
Plateau
Sokoto
Nasarawa
Applicants must currently reside in one of the listed states and have a good understanding of the local communities and languages spoken within their area of deployment.
Duties and responsibilities
Participate in survey training and pilot exercises.
Conduct health facility assessments using approved digital data collection tools.
Administer interviews with health workers and facility personnel.
Review facility registers, service delivery records, and program documentation.
Collect data on commodity availability, service delivery, referrals, and SQ-LNS implementation performance.
Ensure completeness, accuracy, and consistency of all survey responses.
Submit data daily and promptly resolve data quality issues identified by supervisors.
Adhere to ethical, safeguarding, confidentiality, and data protection requirements.
Support field logistics and coordination with facility staff and local stakeholders.
Any other tasks assigned by the supervisor.
Key performance Indicators
≥95% of assigned sampled facilities successfully surveyed.
Daily submission of complete and error-free survey records.
Compliance with survey protocols and ethical standards.
Timely completion of assigned data collection activities.
Low data error rate and successful completion of quality checks.
Full physical attendance and active participation during training and field deployment activities.
Working conditions:
Frequent travel to health facilities across assigned states and LGAs.
Extensive fieldwork, including visits to hard-to-reach locations.
May require overnight stays and extended working hours during survey periods.
Work will be conducted in both urban and rural settings under varying field conditions.
Requirements
Minimum OND/HND/Bachelor's Degree
Previous survey or data collection experience.
Basic knowledge of health systems or healthcare services preferred
Ability to communicate in local languages and English.
Familiarity with mobile data collection tools (ODK, KoboToolbox, SurveyCTO, CommCare, etc.).
Strong interpersonal skills.
Physical requirements:
Ability to travel extensively by road within assigned states.
Ability to spend long hours conducting interviews and reviewing facility records.
Ability to work effectively in remote and challenging field environments.
Physically fit to carry data collection equipment and work in diverse weather conditions.
Minimum qualifications
BA/BSc/HND , OND
How to apply
Interested and qualified? Go to Evidence Action on jobs.workable.com to apply
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