Data Analytics Consultant - Tenders Global
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Data Analytics Consultant

United Nations Children's Fund

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Job Description

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Description

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The Regional Office for South Asia (ROSA) assists Country Offices in the region in the design, implementation, and assessment of their programs. Regarding data management and visualization, ROSA aims to support the countries in improving their data collection strategies, defining robust analytical methodologies to generate knowledge to support evidence-based policies and programs, and designing data visualization tools and strategy that allows messages to clearly arrive at the target audience. ROSA aims to support countries in the automation of regular reports. Due to the global trend of moving printed reports into interactive dashboards, ROSA aims to support the countries that have regular data collection events to automate the creation of reports linked to them. In this context, the main example is the MICS, which Country Offices regularly collect to understand the situation of children in the country and from which different reports are being produced. By automating the data analysis and facilitating its display into dashboards, the countries will be able to produce multimedia products that support the creation of evidence-based policies for the sustainable development of children.
To qualify as an advocate for every child you will have… 
Education:
  • Advanced university degree in statistics, computer sciences, software engineering, or similar.
Work Experience:
  • Verifiable experience in developing of dashboards in PowerBI, Tableau and R Shinny [applicants should provide a link to a dashboard they created in the past or a reference of the institution for which the applicant built a dashboard].
  • At least two years of working experience coding regular reports in R and/or Python [shortlisted applicants will be requested to do a coding test to verify this skill, the test will take 1 hour in which the applicant should develop functional code that performs specific tasks regarding data management and visualization].
  • At least one year of working experience working with Earth Engine is an advantage [applicants are encouraged to highlight in their application jobs in which Earth Engine was used, and for what tasks].
  • At least one instance of exposure to emergency/humanitarian context will be an asset.
Language Proficiency:
  • Fluency in English is required.

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