About Organisation:

Health Access Connect is a non-profit organization that links Ugandans living in remote areas with healthcare resources. The mission of Health Access Connect is to link remote communities to healthcare.

Job Summary:

Data collection of qualitative and quantitative data by use of Focus Group Discussions, Key informant interviews, and household and school surveys in Lwengo and Mpigi District for assessments.

The main purpose of the role is to provide temporary baseline data collection support to HAC’s Monitoring, Evaluation, Accountability and Learning Team. The duty stations will be in Mpigi and Lwengo districts.

Key Duties and Responsibilities:

• Attend training and orientation organized for data collection assignments.
• Correctly obtain informed consent from targeted study participants.
• Utilize electronic data capture tools provided e.g. KOBOcollect etc. to capture qualitative and quantitative data.
• Conduct interviews with study participants i.e. household surveys, Focus Group Discussions, Key Informant Interviews, Document desk reviews, beneficiary selection surveys, etc.
• On a daily basis, complete, edit, review and submit all completed assignments to the supervisor electronically or manually.
• Attend daily briefs and debriefs for proper team coordination during data collection assignments.
• Strictly follow ethical guidelines
• Any other tasks delegated by the supervisor

Qualifications, Skills and Experience:

• Bachelor’s degree/diploma in Statistics, Economics, Business or Commerce, Social Sciences or any other related field
• At least 1 year prior experience conducting interviews, and collecting data.
• Excellent probing skills in the execution of duties of data collection
• Work under minimum supervision to deliver results in the stipulated time of the assignment.
• Excellent knowledge and use of Excel and digital data collection tools, especially Kobo
• Ability to understand and apply specified field data collection procedures and protocols
• Excellent communication skills
• Ability to maintain data ethics
• Able to work and travel in remote and hard-to-reach areas for long hours
• Ability to demonstrate moral values that are acceptable within the rural setting across communities
• Ability to uphold the reputation and credibility of the organization within partner communities during the period of the survey
• Excellent command of English, Luganda for Mpigi and Luganda/Runyankole for Lwengo district languages is a MUST.

• Attend training and orientation organized for data collection assignments.
• Correctly obtain informed consent from targeted study participants.
• Utilize electronic data capture tools provided e.g. KOBOcollect etc. to capture qualitative and quantitative data.
• Conduct interviews with study participants i.e. household surveys, Focus Group Discussions, Key Informant Interviews, Document desk reviews, beneficiary selection surveys, etc.
• On a daily basis, complete, edit, review and submit all completed assignments to the supervisor electronically or manually.
• Attend daily briefs and debriefs for proper team coordination during data collection assignments.
• Strictly follow ethical guidelines
• Any other tasks delegated by the supervisor

• Excellent probing skills in the execution of duties of data collection
• Excellent knowledge and use of Excel and digital data collection tools, especially Kobo
• Ability to understand and apply specified field data collection procedures and protocols
• Excellent communication skills
• Ability to maintain data ethics
• Able to work and travel in remote and hard-to-reach areas for long hours
• Ability to demonstrate moral values that are acceptable within the rural setting across communities
• Ability to uphold the reputation and credibility of the organization within partner communities during the period of the survey
• Excellent command of English, Luganda for Mpigi and Luganda/Runyankole for Lwengo district languages is a MUST.

• Bachelor’s degree/diploma in Statistics, Economics, Business or Commerce, Social Sciences or any other related field