Job Details
The DQA will be implemented on one side, at an IP’s Monitoring and Evaluation (M&E) unit and intermediate reporting levels using a routine data quality assessment tool, and, on another side at the field level (beneficiary households) using a Community Trace and Verify tool. APHRC will work in close coordination with Palladium team to implement the DQA.
Minimum Qualifications:
Applicants should meet the following requirements.
Should have completed at least secondary education with a minimum of grade C+ (Plus) in KCSE.
Be familiar with and proficient in computer applications including use of MS Excel, MS Word and MS PowerPoint.
Have proven experience in conducting household surveys.
Knowledgeable in both quantitative and/or qualitative data collection.
Has an appreciation for quality data in a survey context.
Experience in electronic data collection.
Be a current resident of / originates from any of the following counties: Bungoma, Busia, Homa Bay, Kilifi, Kajiado, Laikipia, Meru, Mombasa, Nakuru and Uasin Gishu.
Be fluent in English, Kiswahili and any other local language mostly spoken in any of the project counties.
Possess strong people skills – listening, communication, and ability to resolve problems while relating well with colleagues and study community.
Post-secondary school education will be an added advantage.
Must be fully available for training and during the entire data quality assessment period (July/August, 2018).
Job Description (responsibilities):
Conducting desk review of secondary data previously collected for and maintained by the various OVC Projects and Local Implementing Partners (LIPs).
Identifying study participants as defined in the study.
Consenting study participants.
Conducting face-to-face interviews with participants sampled for the study.
Complete, edit and submit all assigned interviews for cross-checking and verification by the Supervisor;
Documenting any data inconsistencies detected from the secondary data as well as from the verification interviews.
Reviewing all completed data quality assessment interviews for completeness and internal consistency.
Electronically transmitting all complete and approved quality assessment interviews
Ensuring that all sampled study participants assigned to him/her are fully accounted for as at close of data collection.
Reporting all project related issues to the Supervisor for quick and effective troubleshooting.
Ensuring safety of survey tools and equipment as may be assigned.
