Data-Pop Alliance is looking for a Research & Content Intern (Resilient Livelihoods and Ecosystems). We are an international non-profit “think-and-do-tank” created in 2013 by the Harvard Humanitarian Initiative (HHI), the MIT Media Lab and ODI. We bring together researchers, experts, practitioners, and activists to “Change the world with data” through three pillars of work: diagnosing local realities and human problems with data and AI; mobilizing capacities, communities, and ideas towards more data literate societies, and transforming the systems and processes that underpin our societies and countries.
DPA has partnered with organizations such as the Inter-American Development Bank, UNDP, UN-ESCWA, GIZ (German development agency), the Vodafone Institute, Oxfam Mexico and other key international stakeholders to develop projects in Africa, Latin America and the Caribbean, the MENA region and Asia. We have also deployed over 25 workshops in 10 different countries. To learn more about DPA, please visit our website or read our “Overview and Outlook 2021-2023” report here.
Dates: 6 months full-time, beginning with a 3-month trial period, possibility of extension and growth within the organization.
Location: Tunis, Tunisia or remote.
Scope of Work
Reporting to the Project Managers, the Research and Content Intern will produce research and analysis in the fields of data, sustainable development, socio-economic impacts of COVID-19, agriculture and food systems, livelihoods, economic, social and cultural rights, and others, as well as generate content for the project. Among others, primary activities for the Research and Content Intern include:
Research (50%)
- Conduct literature reviews and background research on assigned topics and project-related research questions, including but not limited to human development outcomes in various countries, climate change and livelihoods, trends in conflict and security, inclusive social protection, importance of statistical systems for development, etc.
- Systematize the literature review and collected data and information to respond to the research objectives.
- Draft project documents, including reports, policy briefs and presentations, to communicate findings and evidence-based policy recommendations.
- Edit and revise ongoing research and project documentation.
- Support content creation by drafting policy briefs, reports, research papers and short analytical articles.
- Support Project Managers with other related tasks such as preparation of presentations, progress tracking, webinar and meeting organization.
Data Collection and Analysis (50%)
- Find, systematize and analyze secondary data related to the topics and research questions of interest.
- Support and assist the data science team on ad-hoc data collection and analyses of quantitative and qualitative data.
- Support data collection activities by developing quantitative and qualitative survey methodologies and questionnaires.
- Conduct key informant interviews and facilitate focus group discussions
- Analyze findings and draft interview reports.
Profile/Qualifications
Candidates should be able to work independently, manage their time wisely, and meet deadlines. They should be detail-focused, reliable, professional, and possess strong research, writing, editing, and analysis skills, as well as excellent communication, and interpersonal skills. Specific qualifications are outlined below:
- Recent graduate of a master’s degree programme (or student in last semester of university) with a degree in International Development, Development Economics, Political Science, Public Administration and other related fields.
- Strong interest in research at the intersection of data and international sustainable development, poverty reduction, climate change, sustainable food systems, livelihoods.
- Experience in qualitative and / or quantitative data collection methods and knowledge of impact evaluation, monitoring, evaluation and learning (MEL) frameworks.
- Demonstrated thematic experience in topics related to livelihoods development, climate change impacts, social protection, food systems and sustainable agriculture, among others,
- Familiarity and experience with qualitative and quantitative research and analysis (especially if the candidate has proven knowledge of Stata, R, Python and/or N Vivo).
- Excellent analytical skills demonstrated through ability to break down high-level research questions and design logical steps to be able to answer them.
- Attention to detail in research and writing.
- Fluent oral and written communication skills in English and French are required. Written and spoken fluency in Arabic is mandatory.
- Ability to work with people from different cultural backgrounds.
- Ability to prioritize tasks among multiple projects, proactively communicate and coordinate with team members.
- Strong computer skills, including proficiency in MS Office applications (Word, Excel, PowerPoint, Outlook).
- Comfortable with remote teams and processes.
Remuneration
500 USD per month
Recruitment process
Qualified candidates are requested to submit a CV, a cover letter with two academic or work references (all in English) and two writing samples (in English and French) to jobs@datapopalliance.org with the subject line “Research and Content Intern_P3” by July 15th, 2022, at 6:00 pm EST. Applications will be considered on a rolling basis so early application is strongly advised.
Please note that only complete applications submitted in English will be considered. Due to the large volume of applications, only short-listed candidates will be contacted.
Equal opportunity
Data-Pop Alliance employs personnel without regard to race, ancestry, place of origin, color, ethnic origin, language, citizenship, creed, religion, gender, sexual orientation, gender identity, age, marital status, physical and/or mental handicap or financial ability. While remaining alert and sensitive to the issue of fair and equitable treatment for all, Data-Pop Alliance has a special concern with the participation and advancement of members of four designated groups that have traditionally been disadvantaged in employment: women, visible minorities, aboriginal peoples and persons with disabilities.
