Analyst – Qualitative KE

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.
• Proactive, solution-oriented approach to problem-solving in complex and ambiguous environments.
• High attention to detail in data capture, documentation, and adherence to protocols.
• Comfortable working independently in the field and managing logistics with limited supervision.

Tech Stack

• Python
• SQL
• Tableau