Research Assistants – Casuals Database at Save the Children

Key Areas of Accountability

• Working with communities where the studies will be implemented to mobilize community members targeted during the interviews using appropriate channels.
• Conducting on and off site qualitative and quantitative interviews (Focus Group Discussions, Key Informant Interviews, In-depth interviews and household assessments) using structured and semi-structured questionnaires.
• Collating data from all the tools and working with supervisors to ensure high data quality and timeliness.
• Responsible for validating and loading item data into the system, including but not limited to supplier catalogue items, maximising product data quality and integrity.
• Working with MEAL team to troubleshoot data collection tools
• Submitting of all data through the provided platforms, e.g. ODK/KoBo Collect and other survey forms as guided by the supervisor.
• Submitting daily field reports on progress to the supervisor during catch up meetings.
• Undertake Office clerical work and support different support department.
• Submitting feedback collected during field work to Save the Children
• Reporting any child protection/ safeguarding issue encountered during the assessment/study

Qualification and Experience

• Bachelor’s degree in social sciences or related field such as public health, education, Social work, development studies, sociology, statistics, Information Technology or similar disciplines.
• Strong research experience in both qualitative and quantitative research (focus group discussions, in-depth interviews and key informant interviews)
• Experience using information communication technology (ICT) with reputable research organizations/INGOs will be an added advantage
• Fluency in English and Kiswahili both written and oral.
• Excellent communication and interpersonal and report writing skills.
• A demonstrable ability to manage a complex and varied workload; to work effectively under pressure; and to organise and prioritise work to ensure deadlines are met
• Advanced MS Excel skills
• Experience working with large data sets, ensuring quality, accuracy and relevance of data captured and processed
• Computer literacy, particularly in Word, and PowerPoint
• Knowledge and experience in health systems and community structures is preferable
• Willingness to work in informal settlements will be an added advantage

Deadline: 13 Feb 2022 – 23:59 EAT