United Nations Children's Fund
tendersglobal.net
Job Description
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Description
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We seek a strong self-motivated intern with data analysis experience who can produce detailed data analysis reports and can work with a diverse team to drive the giga project forward, using data-driven insights.
The intern will support the data and mapping team build a suite of analytics tools, such as dashboards and ad-hoc pieces of geospatial and real-time data analytics, to help support in-country officers and help actualize Giga’s ambitious goal of connecting every school, and every community to the Internet.
The team is looking for an intern with some experience running time-series analytics, including geospatial data and who can prepare reports using open-source tooling to help monitor school connectivity. The ability to work freely with both python and PostgreSQL as well as contribute to documentation and data quality standards.
Your main responsibilities include:
- Work closely with the data & mapping product team to support data analysis on both real-time and geospatial datasets.
- Support the creation of analytical reports to be used by country teams for monitoring project engagement and implementation.
- Assist in writing documentation and forming research questions for the data science team to test.
- Assist with product design on gigas data products.
What you need to apply…
- To be enrolled in a graduate degree program in Computer Science, Engineering or other relevant field or have graduated within the past two years.
- At least one (1) year previous work experience is required.
- Interested in Time-series data, internet measurements context or social-economic analysis.
- Have good interpersonal skills (liaising with people of many different nationalities) and organizations skills.
- Communicate effectively both orally and through writing, and work cooperatively in a fast paced, diverse team environment.
- Experience with data visualizations.
- Experience with data modelling.
- Experience with geospatial data processing.
- Experience with product analytics.
- Technical experience in:
- Languages: python, Jupyter Notebooks, R,
- Cloud services: Azure, AWS, etc
- Geospatial DBs, libraries and data structures
- Data visualization libraries
- Sql and NoSQL database systems
- Experience with git, pull requests.
Language:
- Fluency in written and spoken English is required.
- Proficiency in Spanish or any other UN languages (French, Russian, Arabic, Chinese) is considered an asset.
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