We are currently looking for a Data Specialist to join the Global Inter-Sector Unit in HQ.
Title: Data Specialist (DS)
Location: Geneva with possibility of up to 20% travel
Contract duration: Open-ended
Start date: ASAP
The Data Specialist will be part of the REACH Global Inter-Sector Unit (ISU) based in IMPACT HQ, supporting the Multi-Sector Needs Assessment (MSNA) Workstream under the supervision of the global MSNA Manager. Specifically, the Data Specialist will (1) conduct research & development activities relating to automation/process improvement; (2) provide dedicated quantitative analysis support to REACH country teams implementing MSNAs.
Research & Development around automation (80%) – piloting methods to produce robust analysis within and between crises, using standardised/automated analytical processes.
- Conduct a scoping activity and document (a) global automation tools for data analysis of humanitarian/ development assessment tools; (b) current data analysis practices in IMPACT country missions.
- Identify and provide recommendations about workstreams that would benefit from automation/standardisation.
- Test various statistical analysis techniques to identify the most reliable automation/standardisation approaches.
- Design and test purpose-built automation tools in close collaboration with MSNA in-country and global programmes teams.
- Build the capacity of country teams to use, adapt, and operationalise MSNA automation/standardisation tools.
- Ensure the above tasks are conducted in accordance with IMPACT data protection standards and policies
Country support (up to 20%) – dedicated data support to REACH country teams
- Provided dedicated data cleaning, processing, and analysis surge support to REACH country teams implementing inter-sectoral research programs
- This support will be ad hoc in nature but anticipated to focus primarily around supporting with MSNA quantitative analysis during the peak analysis period (1-2 months) each year, to ensure critical in-country milestones are met.
- This support may be provided remotely and/or through a field deployment, depending on the extent of support required and the specific needs of the country team
- Qualifications & Experience
- Good academic qualifications, including a Master’s degree or higher in relevant discipline (e.g. Data Science, Economics, Econometrics, Statistics, etc.);
- At least 4 years of relevant work experience in a data scientist, data analytics, information management, or similar role, ideally in humanitarian / development contexts (e.g. needs assessments, monitoring and evaluation, etc.);
- At least 4 years of field experience in humanitarian crises;
- Experience designing and implementing automation tools and processes for humanitarian / development research preferably using R;
- Prior experience with and good understanding of quantitative data processing and analysis methods, including descriptive and inferential statistics;
- Good understanding of statistics and statistical analysis;
- Advanced working knowledge of R software;
- Extensive experience working with at least one analysis software package/ language (Python, R, SPSS, STATA, etc.).
- Soft skills
- Attention to detail and commitment to producing high quality work;
- Openness to feedback and willingness to learn;
- Ability to manage time effectively and thrive in a fast paced, results-oriented working environment;
- Ability to work independently, with initiative, while taking a proactive, solutions-oriented approach;
- Ability to communicate clearly and effectively, including in remote work settings.
- Experience in needs assessments, monitoring & evaluations, information management in field research settings in an international context;
- Experience in coding data collection tools for mobile data collection platforms;
- Working knowledge of Arabic, French, Spanish, or another relevant language;
- Familiarity with the humanitarian aid system.
How to apply
Please apply using the following link: Data Specialist (Multi-Sector Needs Assessment) | Impact (impact-initiatives.org)
Closing date: 10/31/2022