Data Analsysis Consultant – Humanitarian Accountability & Protection in Forced Displacement Contexts (RECAP)
TERMS OF REFERENCE
Project Title: Humanitarian Accountability & Protection in Forced Displacement Contexts (RECAP)
Organisation: Refugee Law Initiative, School of Advanced Study, University of London
Job Title: Data Analysis Consultant
Duty Station: Home
Duration: 1 month, approximately 17.5 hours per week (dates to be confirmed upon appointment)
Contract Type: Individual Contractor
Closing Date: 16th May 2021
RECAP (‘Research capacity strengthening and knowledge generation to support preparedness and response to humanitarian crises and epidemics’) is a four-year research project that started in 2018, focusing on the health and protection sectors in humanitarian response. Its purpose is to conduct research and strengthen research capacity to help improve decision-making and accountability in response to humanitarian crises. RECAP is a partnership between universities in the United Kingdom, Sierra Leone and Lebanon, along with leading humanitarian NGOs including Save the Children, Médecins Sans Frontières and the International Rescue Committee. RECAP is funded by the Global Challenges Research Fund (GCRF). Within the RECAP project, the Refugee Law Initiative (RLI) leads research on protection and accountability for humanitarian organisations in displacement contexts.
This RLI’s RECAP study focuses on the legal and other frameworks of accountability for humanitarian actors, focusing on protection in relation to displaced populations in crisis contexts.
This Consultancy would assist with the quantitative analysis of questionnaire data.
Duties and Responsibilities:
This data analysis consultancy would require a time commitment of 1 month. We expect the work will take approximately 17.5 hours/week to complete in the required timeframe and the successful applicant should confirm their availability. It is expected that the data analysis consultant will:
- Transfer data to appropriate software (e.g. SPSS).
- Conduct quantitative and statistical analysis of questionnaire data.
- Presentation of research results and discussion.
- Educated to Master’s level in social science or related disciplines (required)
- Educated to PhD level (desirable)
- Demonstrable knowledge and experience of working on quantitative analysis
- An ability to work effectively, using your own initiative.
- Excellent quantitative data analysis skills using SPSS or related software packages for statistical analysis.
- Excellent written and oral communication skills.
- Excellent general IT skills, including the Microsoft Office suite of programmes.
- Access to SPSS or other relevant software packages used for statistical analysis.
Please submit your CV, along with a cover letter (no more than 1 page), to Dr Diana Martin (email@example.com) by 16 May 2021.