Qualitative Data Analyst Consultant at Jhpiego

Responsibilities

The analyst in consultation with the Research and Learning Advisor will be responsible for the following activities:

• Support all monitoring data management and ensure quality transcription process for data collected.
• Develop a thematic codebook for generating themes and sub-themes in line with the objectives of the analysis to respond to site visit purposes. This will involve producing summaries, abstracts, and coding.
• Develop coding notes from the Focus group discussions (FGDs).
• Carry out a detailed analysis of the qualitative data collected using NVivo qualitative analysis tools.
• Develop a qualitative analysis report that includes a description of results in terms of themes and sub-themes, including but not limited to quotations, examining relationships and patterns between categories and themes, discussion of results, and annex for the final codebook.
• Work with the MEL advisor to identify appropriate analytical methods to conduct qualitative data collection and analyses accordingly.
• Coordinate with the MEL advisor and the project lead to ensure timely submission of high-quality deliverables.

The analyst will be accountable for the following deliverables:

• Coding notes from FGDs
• The final codebook
• Qualitative analysis report from FGDs
• Power point presentation on the findings
• Draft manuscript

Required Qualifications

• Master’s degree in development or a related field, such as Health sciences, Evaluation Sciences, or any other discipline relevant to development assistance.
• Proficiency in using statistical analysis software packages and qualitative analysis software such as NVivo, Atlas.ti, Dedoose, or MAXQDA for effective data management and analysis.
• A minimum of five years of experience in qualitative data analysis, including content analysis, conceptual framework application, codebook development, and coding.
• Experience in conducting rapid qualitative analysis, demonstrating the ability to analyze and interpret data within tight timelines.
• Proven experience in conducting baseline/mid-term/ end-term evaluations or similar assessments.
• Familiarity with the principles and practices of project management, including monitoring and evaluation methodologies.
• Strong analytical skills and the ability to present findings in a clear and concise manner.
• Excellent written and verbal communication skills in English.
• Understanding of confidentiality and data security principles, ensuring the protection and appropriate handling of sensitive information.