Job Description

FACT Zimbabwe is an implementing partner under the Mhuri/Imuli II MNCH Project.
FACT is leading the GESI analysis under this project with technical assistance from FHI360.
The proposed GESI analysis will be conducted to determine how gender affects workplace
dynamics and access to service delivery. It will explore gender-related barriers and
opportunities related to the project objectives which include (i) technical capacity at national,
provincial and district levels (ii) planning, distribution and optimization of MNCH health
workforce and (iii) reinforced planning, management, and coordination of essential
commodities. The gender analysis will result in development of an action plan (GIDAP)
that will be a key gender mainstreaming tool and mechanism for ensuring gender-inclusive
design and implementation of MNCH projects specific to the project’s key provinces:
Manicaland; Mashonaland West; Matabeleland South; Masvingo; and Midlands in order to
improve MNCH outcomes through increasing access to quality service sand strengthening
health systems. FACT seeks the services of Qualitative Data Collectors detailed below;
1. Position: Qualitative Data Collectors (x6)
2. Reports to: GESI LEAD
3. Contract Duration: 10 Days
4. Based in: Manicaland Province x2
Mashonaland Province x 2
Midlands Province x 2

Duties and Responsibilities

5. Summary Job Responsibilities
• Participate in study training; participate in the translation, testing and review of
interview guides; work with the site-based study team, schedule interviews
with study participants;
• Conduct and document informed consent processes; securely store all informed
consent documents per study procedures.
• Conduct key-informant interviews with study participants.
• Securely handle and store data collection forms per study procedures; consult
and communicate in a timely manner any challenges encountered during data
collection with the GESI Lead.
• Transcribe recorded interviews into a standard Word template; support data
analysis; organize data, create initial codes, respond to queries from qualitative
analysis team.
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• Flawlessly maintain study participant confidentiality; adhere to the study
protocol and all study procedures and implement quality control process
throughout the conduct of the study
• Share written interview notes and full transcripts on time, as agreed with the
GESI Lead.
• Participate in regular team debriefing meetings. Perform any other related
duties.

Qualifications and Experience

6. Education and Training
• Bachelor’s degree in Gender and Development Studies, Education, Population
Studies/Demography, Statistics, Epidemiology, Economics, or related discipline (A
Master’s degree in these fields and experience is an added advantage).
7. Experience,
• At least 2 years of experience conducting qualitative interviews in research settings
• Experience in taking notes interviews and focus group discussions.
• Experience using digital audio recorders to record interviews.
• Good knowledge of spoken and written English and Shona.
• Ideally the incumbent should have a laptop they can use for the duration of the contract
8. Skills & Competencies
• Excellent communication skills
• Ability to quickly establish rapport with wide range of study participants.
• Ability to effectively work as part of a team.
• Non-judgmental attitude, humanitarian values and ethics are absolute requirements.
• Independent and self-motivated
• Highly proficient in Microsoft Word, Excel and PowerPoint.
• Proficiency in qualitative coding software, such as NVivo, preferred.
• Excellent cross-cultural, interpersonal, written, and oral communications skills;
• Excellent organizational and multitasking capabilities;

How to Apply

9. How to apply:
a. Click the button below and complete the form not later than 28 August 2024.
b. Send a detailed CV to [email protected] highlighting the post and preferred province.
c. Please note applications will be considered on a rolling basis
Please ensure that both steps are carried out to complete the application processs

Click to Apply