Latest Recruitments at Busara Center

Key Responsibilities​​​​​​​

• Data Systems Management and Governance
• Receive, log, and securely store partner datasets in line with project data management and governance protocols.
• Define and manage data access permissions, ensuring only authorised users can access sensitive or identifiable data.
• Maintain clear handling protocols for raw, cleaned, and anonymised datasets across teams and workstreams.
• Maintain version control and detailed audit trails for all data processing steps.
• Ensure compliance with data protection requirements and ethical data use standards, including relevant East African regulatory frameworks.
• Data Quality Assessment and Diagnostics
• Review dataset structure, variable naming, coding, and formatting against project standards and reporting requirements.
• Conduct data quality checks on core variables including, demographics, participation dates, intervention types, and contact details.
• Assess the presence and quality of unique identifiers; detect duplicate or inconsistent records.
• Conduct internal consistency checks across variables, classifications, and timelines.
• Compare partner dataset counts with reported figures and flag and document discrepancies.
• Provide clear technical write-ups of dataset limitations that affect analysis, sampling, or verification decisions.
• Data Preparation and Analysis
• Clean and prepare datasets for analysis, sampling, and verification activities.
• Support quantitative analysis of programme and research data, including working with large administrative datasets.
• Contribute to the design and implementation of sampling processes for surveys and follow-up verification.
• Support data visualisation and the development of summary dashboards and analytical outputs for reporting.
• Work with analysts and senior staff to ensure analytical approaches are appropriate, rigorous, and well-documented.
• Project and Workstream Management
• Contribute to inception reports, analytical briefs, and final evaluation reports to a high standard of clarity and rigour.
• Manage assigned workstreams end to end, including planning activities, tracking progress, and ensuring timely delivery of outputs.
• Coordinate with internal teams, data, research, and operations,  to ensure alignment across project activities.
• Communicate proactively with project leads on risks, blockers, and emerging issues affecting timelines or quality.
• Contribute to client and partner engagement, including preparation for meetings, workshops, and review sessions.

Knowledge skills and Experience

• 5 years of relevant experience, with a combination of data management or data systems work and practical MEL engagement in development programme contexts.
• Experience working with large administrative or partner datasets in multi-partner programme environments.
• Experience supporting or leading evaluations, data quality assessments, or programme monitoring systems.
• Demonstrated ability to manage projects or workstreams independently, including managing timelines and partner relationships.
• Experience producing written analytical outputs — reports, briefs, or technical summaries — for varied audiences
• Strong command of Excel and at least one statistical or data management tool such as Stata, R, Python, or SQL.
• Ability to detect structural issues in datasets and diagnose data quality problems systematically.
• Familiarity with digital data collection platforms such as KoboToolbox, CommCare, or DHIS2.
• Experience with data visualisation tools such as Power BI, Tableau, or equivalent is an advantage.
• Understanding of data protection and privacy requirements, including in East African regulatory contexts

go to method of application »

• Research Design and Tool Development
• Develop and refine qualitative data collection instruments such as  IDI guides, FGD guides, and KII protocols, aligned to evaluation questions and the assessment framework.
• Support design of sampling frameworks, including purposive selection criteria for qualitative sub-samples and case study participants.
• Contribute to the development of quantitative survey modules where qualitative and quantitative instruments need to be aligned.
• Enumerator and Field Team Training
• Design and facilitate training sessions for field enumerators and research assistants, covering interview techniques, ethical data collection, and instrument application.
• Develop training materials, role-play scenarios, and quality checklists for field teams.
• Support piloting of instruments and incorporate findings into final tool revisions before deployment.
• Monitor fieldwork quality in real time, identifying and resolving issues affecting data completeness or consistency.
• Data Quality Assessment Support
• Assist the Associate in conducting DQA activities, including reviewing incoming qualitative data for completeness, consistency, and adherence to protocols.
• Review transcripts, field notes, and observation records for quality and flag gaps requiring follow-up.
• Maintain organised qualitative data files and documentation logs throughout the data collection period.
• Qualitative Analysis
• Conduct thematic coding and analysis of qualitative data using NVivo or equivalent.
• Produce structured analytical memos and emerging findings summaries at key stages of the analysis.
• Contribute to triangulation of qualitative and quantitative evidence under the direction of the Associate.
• Report Writing and Output Development
• Draft qualitative findings sections, case study narratives, and contribution analyses for evaluation reports.
• Contribute to inception reports, analytical briefs, and presentation materials.
• Incorporate feedback from the Associate and senior staff to bring outputs to a high standard of clarity and rigour. 

Knowledge, Skill and Experience

Minimum Requirements

• 1–3 years of experience in qualitative data collection in development programme contexts — evaluations, research studies, or community-based assessments.
• Demonstrated experience conducting IDIs and FGDs, ideally with MSME, youth, or informal economy populations.
• Experience coordinating fieldwork or supervising enumerators is an advantage.
• Familiarity with MEL frameworks and how qualitative evidence contributes to programme learning.