Key skills
PythonSQLTableauRBIPower BICommunication
About this role
Role Overview
- 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.
- 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.
- 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.
- 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.
- 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.
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.
- Proficiency in at least one qualitative analysis tool — NVivo, ATLAS.ti, or Dedoose.
- Strong command of Excel and at least one statistical or data management tool such as Stata, R, Python, or SQL.
- Familiarity with digital data collection platforms such as KoboToolbox or ODK.
- Experience with data visualisation tools such as Power BI, Tableau, or equivalent is an advantage.
- Strong written and verbal communication in English, able to present technical findings clearly to non-technical audiences.
- High attention to detail and commitment to data confidentiality and quality.
- Comfortable working independently in the field and managing logistics with limited supervision.
Tech Stack
- Python
- SQL
- Tableau
Benefits
- Data Privacy Statement
- Ethical data collection
- Proactive, solution-oriented approach to problem-solving
- High attention to detail in data capture, documentation, and adherence to protocols