In A Nutshell
Responsible for the timely delivery of the research project (s) and of all the associated organizational responsibilities.
Responsibilities
Team Management and Coordination
- Enact the timeline implementation and execution of the RM’s vision for the project.
- Head all research and internal communications processes.
- Accountable for all project finances, reporting, liaison with finance and admin teams.
- Manage project team members both in office and field locations.
- Train national and international teams.
- Produce, review, and approve key project documents.
- Oversee fieldwork authorization processes under the responsibility of the area coordinators.
- Coordinate activities with relevant partners.
- Responsible for timely submission of deliverables and timely invoicing.
Client Management and Communications
- Manage day-to-day client requests and all day-to-day internal/external interfacing for the project.
- Prepare and lead presentations for stakeholders (internal and external).
- Maintain and coordinate an efficient system of data sharing and data uploads of all project-related data.
- Prepare proposals, participate in networking events and meetings, and expand Samuel Hall’s network and partnerships.
Research
- Lead Research and Planning Teams.
- Manage mixed methods fieldwork in multiple countries.
- Produce the design of research tools, research methodologies, and outputs.
- Ad-hoc support to SH Pillar 1 (Research & Policy) and Pillar 2 (MEAL) on quantitative-related analysis.
- Manage, train, and task research assistants and area coordinators.
- Execute the quality and timeliness of the collected data.
- Contribute to analysis, report writing, and dissemination.
Skillset
- A completed Bachelor’s degree in International Development, Political Science, Economics, Statistics, or any related field with 3+ years of relevant professional experience preferred.
- Excellent writing skills, conveying technical findings to different audiences in an accessible way.
- Proven experience with quantitative research
- Excellent command of Excel + ideally a statistical analysis software (R, Stata, Python or SPSS).
- Keen attention to detail and proactive communication.
- Ability to cope well under pressure, work occasionally irregular hours and meet tight deadlines.