Company Description

Kampala Youth Labourers Association (KYLA) is a youth-led organization in Uganda focused on empowering disadvantaged young people through education, digital skills, research, entrepreneurship, and employment opportunities. KYLA equips youth with practical skills to improve employability, promote self-reliance, and drive sustainable community development. Through its ICT and Digital Skills Programs, the organization trains young people in computer applications, digital literacy, online work, and innovation to enable active participation in the digital economy. The KYLA Research and Data Collection Unit provides professional services in research, monitoring and evaluation, data collection, analysis, surveys, and reporting to a wide range of partners. KYLA combines quality data services with youth empowerment to support informed decision-making and social transformation.Uganda job market

Role Description

Enumerators and Data Entry Clerks will support KYLA’s Research and Data Collection Unit by collecting, recording, and entering accurate data for surveys, fieldwork, and monitoring and evaluation activities. Day-to-day tasks include conducting interviews and administering questionnaires, capturing data using mobile devices or paper tools, and entering information into databases or spreadsheets. The role involves verifying data quality, identifying inconsistencies, and collaborating with supervisors and field coordinators to ensure timely completion of assignments. Team members may assist with basic administrative tasks related to data management, such as organizing records and preparing summaries or simple reports. This is a full-time, on-site role based in the Central Region, Uganda.

Qualifications

Candidates should possess strong typing skills and the ability to accurately input data at a consistent pace.

Candidates should possess solid computer literacy skills, including familiarity with basic office software and data entry tools.

Candidates should possess administrative assistance skills, such as organizing documents, managing records, and supporting fieldwork logistics.

Candidates should possess effective communication skills for conducting interviews, explaining survey questions, and collaborating with team members.

Candidates should possess customer service skills to interact respectfully and professionally with respondents and stakeholders.

Additional beneficial qualifications include attention to detail, reliability, integrity when handling sensitive data, and the ability to follow research protocols.

Experience in data collection, survey work, or research projects, and familiarity with digital data collection using mobile technologies are an added advantage.

A minimum of a secondary school certificate; post-secondary training in statistics, social sciences, ICT, or related fields is preferred.

• Collecting, recording, and entering accurate data for surveys, fieldwork, and monitoring and evaluation activities.
• Conducting interviews and administering questionnaires.
• Capturing data using mobile devices or paper tools.
• Entering information into databases or spreadsheets.
• Verifying data quality and identifying inconsistencies.
• Collaborating with supervisors and field coordinators to ensure timely completion of assignments.
• Assisting with basic administrative tasks related to data management, such as organizing records and preparing summaries or simple reports.

• Strong typing skills
• Accurate data input at a consistent pace
• Solid computer literacy skills (basic office software, data entry tools)
• Administrative assistance skills (organizing documents, managing records, supporting fieldwork logistics)
• Effective communication skills (conducting interviews, explaining survey questions, collaborating with team members)
• Customer service skills
• Attention to detail
• Reliability
• Integrity when handling sensitive data
• Ability to follow research protocols
• Familiarity with digital data collection using mobile technologies (added advantage)

• Minimum of a secondary school certificate
• Post-secondary training in statistics, social sciences, ICT, or related fields (preferred)
• Experience in data collection, survey work, or research projects (added advantage)