Internews Network
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Description
ABOUT THE PROJECT
The Rooted in Trust project works to combat COVID-19 rumors and misinformation in Afghanistan, Lebanon, Iraq, Colombia, Brazil, Mali, DRC, Zimbabwe, Sudan, and South Sudan. We work to create impact at the local level and inform approaches to rumor management at the global level. The project is supported by a Global Technical Advisory Team made up of media, humanitarian, data science, and information management experts.
In Phase 1 of the project, we collected more than 19 thousand rumors in 14 languages and supported more than 30 local trusted information providers. In this critical phase of the pandemic, we will build on these efforts to listen and respond to the information challenges faced by vulnerable groups in humanitarian contexts, encouraging open dialogue between citizens and scientists and stronger and more collaborative partnerships between information providers (such as local media) and humanitarian and health sources.
ABOUT THE… OPPORTUNITY
The Data Analyst (DA) is tasked with wrangling qualitative and quantitative rumor data and working to find trends and information that help us better understand community perceptions of the pandemic and vaccines. The DA will help partners and/or team members to ensure qualitative data is collected in a consistent and continuous way and analyzing feedback with a focus on the concerns, fears, and hopes that are behind the rumors and drive misinformation. The DA will support the Internews team and its partners to address misinformation and provide input for feedback reports for humanitarian partners on a national and regional level to inform decision-making and improve the information provided with timely, locally relevant, and reliable information people trust.
DAY-TO-DAY TASKS will include:
��� Lead the analysis of rumor data collected by partner organizations and identify trends that may impact public health outcomes.
��� Support feedback gathering by Internews staff and partners by evaluating methodology and suggesting improvements where necessary.
��� Collate, clean, and analyze data collected by Internews and partner organizations through community engagement activities like call-in radio shows, social media interactions, face-to-face interactions, including those by front-line aid workers, media, and other channels as deemed relevant.
��� Contribute to the production of regular rumor and feedback reports for humanitarian, media, and health partners to improve their understanding of the concerns and questions among the affected population.
��� Work alongside and collaborate with researchers, journalists, and humanitarian communicators.
��� Provide input into the editorial process by providing regular updates to the Content Creator and the content production team on recurrent or emerging topics and trends.
��� Support monitoring and evaluation activities to assess the impact, reach, and quality of the ongoing project.
��� Perform any other duties as assigned by the supervisors.
��� Understanding of and demonstrating a commitment to upholding Internews��� Core Values.
Qualifications & Preferred Skills
QUALIFICATIONS WE���RE LOOKING FOR
Required
��� Strong qualitative data analysis, research, and information management experience in fast-changing humanitarian contexts and with variable datasets.
��� Experience and/or understanding of sentiment analysis and/or social media listening tools is a plus.
��� Data visualization skills and knowledge of relevant software to produce infographics are a plus.
��� Strong understanding of the humanitarian system to ensure data collection (Kobo, ODK) and provision follows the Core Humanitarian Standards and information can be sourced in a timely manner among partners on the ground.
��� Strong writing skills and the ability to bring data to life.
��� Experience working in humanitarian and/or health emergencies.
��� Fluent in English, Kurdish & Arabic.
��� Strong understanding of, and commitment towards editorial values of the project.
��� Self-motivated and able to work in a fast-paced environment.
��� Strong understanding of, and commitment towards, editorial values of the project.
Preferred
Note: Candidates who do not have these preferred qualifications, but are interested and willing to learn, are encouraged to apply.
��� Awareness of, and familiarity with, the issues and dynamics of the COVID-19 pandemic in Iraq and/or other health crises in humanitarian contexts is a strong asset
How To Apply
Interested candidates need to send their CVs to
[email protected] with the subject title ���Data Analysis Officer -RiT��� not later than (22 January 2022)
Only shortlisted candidates will be contacted for an interview, applications sent beyond that date will not be considered.
CVs in formats other than PDF and Word will be disregarded.
Deadline Date
2022-01-22
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