RESEARCH AND CONTENT INTERN - DATA FEMINISM PROGRAM

Please kindly read the entire job posting. Application instructions are located at the end.

Data-Pop Alliance is looking for a Research and Content Intern for the Data Feminism Program. We are an international nonprofit created in 2013 out of 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 and received funding from organizations such as the Inter-American Development Bank, UNDP, FAO, UN ESCWA, GIZ (German development agency), the Vodafone Institute, Oxfam México and other key international stakeholders to develop projects in Sub-Saharan Africa (SSA), Latin America and the Caribbean (LAC), the Middle-East and North Africa (MENA), and Asia. To learn more about DPA, please consult our website and our “Overview and Outlook 2022-2024” report.

DPA’s projects are managed and carried out by a core team of about 30 people, including Directors, Managers, Officers, Data Scientists, Research Assistants, and Interns.

Dates: 3 months, full-time

Location: Remote

Reporting to the Program Director and Project Managers in the “Data Feminism” Program, the Research and Content Intern will have the opportunity to collaborate on projects with international partner organizations and produce research in gender equality and Data4Development. Among others, primary activities for the Research and Content Intern include:

Scope of Work

1. Research on Gender (95%)

• Assist Project Manager(s) in designing research methodologies and frameworks, including sampling strategies, survey design, and qualitative data collection techniques, such as interviews and focus groups.
• Conduct literature reviews and gather relevant data from reputable sources, including academic publications, reports, databases, and collaborate with team members to develop data collection instruments, including surveys and interview guides.
• Conduct primary and secondary data collection through surveys, interviews, and focus group discussions with relevant stakeholders.
• Organize and manage collected data efficiently using appropriate software tools, and perform quantitative and qualitative analysis of data to derive meaningful insights and trends.
• Contribute to the preparation of comprehensive research reports, and briefs based on the findings and analysis, ensuring accuracy, clarity, and coherence in written outputs, adhering to DPA’s standards.
• Collaborate with team members to develop visually engaging presentations and infographics to communicate research findings effectively.
• Collaborate closely with team members to ensure timely completion of research milestones and deliverables, and provide administrative support in organizing meetings, maintaining project documentation, and tracking progress. Contribute actively to team discussions, sharing insights, and proposing innovative ideas for advancing research objectives.
• Assist in drafting articles, blog posts, and other content pieces for publication on the DPA’s website and external platforms (if applicable).
• Carry out operational research tasks related to the Data Feminism Program.

1. Other tasks and duties as required (5%)

Profile/Qualifications

• Recent graduate or final-year university student with a degree in Gender Studies, International Development, Political Science, Sociology, Economics, or a related social science field. A Master’s degree is a plus.
• Strong interest in research at the intersection of international development and gender equality, proven by previous academic projects, or volunteer work of professional experience.
• Previous experience analyzing and reviewing gender equality issues.
• Demonstrated understanding of feminist theory, intersectionality, and social justice frameworks.
• Proficiency in qualitative and quantitative research methods and analysis.
• Excellent oral and written communication skills in English and French (fluency in Spanish, Portuguese, and/or Arabic is a plus).
• Ability to work with people from different cultural backgrounds.
• Highly proactive, analytical and organized.
• Strong computer skills, including proficiency in MS Office applications (Word, Excel, PowerPoint, Outlook) and remote productivity tools (Drive, Slack, Zoom, etc.).
• Comfortable with remote teams and processes.

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.

Remuneration

500 USD per month

Recruitment process

Qualified candidates are requested to submit a CV, a cover letter with two academic or work references to jobs@datapopalliance.org with the subject line “R2024010-Intern P4” by November 20, 2024, 6:00 pm EST. Candidates will be reviewed on a rolling basis, so early application is strongly encouraged.

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. Also, rename each document you’ll submit with your name, the position and the type of document you are submitting. Ie. FIRSTNAME LASTNAME_Position_CV and send them in PDF format.

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, 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.