Commercial Partner at Kyosk Digital Services

Posted 2 months ago

Duties and responsibilities:

  • Identify the selected enumeration areas.
  • Locate household structures in study enumeration areas and performing a household listing.
  • Obtain and document informed consent from study participants prior to data collection.
  • Conduct all study surveys.
  • Edit and submit data for completed interviews for daily cross-checking and verification by the designated team leader.
  • Attend all scheduled training sessions and progress meetings.
  • Ensure that data integrity is always maintained while minimizing errors in data gathering and transmission.
  • Ensure the safety and responsible handling of all study tools and equipment provided for the interviews.
  • Communicate promptly challenges and issues arising from the field to the team leaders and research team.
  • Timely completion of scheduled daily activities filing reports of work done.
  • Assist the research team in other project-related activities.

Minimum qualifications

  • Must have a Kenya Certificate of Secondary Education (KCSE) certificate, with a minimum grade of C Plain.
  • Fluency in Kiswahili and English, both written and oral.
  • Experience in data collection using electronic data collection platforms such as survey CTO or Open Data Kit (ODK).
  • Strong interpersonal and communication (spoken and written) skills.
  • Proven past working experience on quantitative research projects including nation-wide household surveys.
  • Must be a current resident of one of the selected 16 counties.
  • Ability to adhere to protocols and guidelines for data collection.
  • Be available to work full time on the project for the duration of the study.

The candidates should be:

  • Residents of the counties listed above: Kilifi, Mombasa, Garissa, Marsabit, Meru, Kitui, Nyeri, Kirinyaga, Turkana, Trans-Nzoia, Nandi, Laikipia, Busia, Migori, Nyamira and Nairobi. (County of residence should be clearly indicated on the cover letter).
  • Prepared to work full time on the project for the duration of the data collection.
  • Flexible and available to work odd hours (when necessary), under minimal supervision.

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