Data Analyst at Jhpiego - John Hopkins University

Reports to: Project Director
Duration: 30 working days (Between November-December, 2020)

Position Overview

• Lead the analysis of data and information (qualitative and quantitative) from the field work and prepare the data analysis report.

Specific Responsibilities
Working closely with the Jhpiego implementation team assigned to:

• Remote supervision of the field work in all the LGAs of implementation via a WhatsApp group.
• Lead the study data analysis and report writing for the assignment.
• Data analysis using any of the R* statistical packages including data cleaning and exportation to statistical packages
• Lead the development of GBV Services Referral Directories and Referral Maps for each of the states.
• Qualitative data received as Word documents parsed and converted to text files, and built into RQDA projects
• Development of dummy tables from Codebooks with themes based on the various objectives of the analysis accordingly to be used for data analysis
• Participate in the data review, analysis and report writing workshop.

Deliverables
Activity report detailing work done and recommendations including:

• Statistical analysis of available data
• Interpretation of analyzed data (quantitative and qualitative)
• Report of assessment in the three states
• Code book available for review and suggestions
• Dummy tables with data interpretation available for review and suggestions.
• GBV Referral Maps and Referral Directories.

Qualifications / Experiences / Competencies

• An Advanced Degree in Sociology, Medical or Health Sciences research or Biostatistics is required
• Prior experience leading or supporting similar research projects is an advantage
• Experience in qualitative and quantitative research methods, community surveys and good publication track records are desirable
• Excellent communications and interpersonal skills are essential
• Good spoken and written English
• Ability to multi-task and meet deadlines at short notice
• Excellent report writing skills
• Familiarity with international donors and social development report writing requirements will be an added advantage
• Good computer skills and competence with data analysis softwares such as open source R* scripts.