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Data Visualisation & Graphics Intern

Location: Remote

Start date: As soon as possible

Duration: 3-6 months (or longer)

Earth.Org is seeking motivated and hard-working individuals to contribute to our data visualisation effort on a volunteer (unpaid) basis. 

International applicants welcomed, as well as applicants wishing to work remotely.

Our Mission

Earth.Org is a not-for-profit environmental organisation based in Hong Kong. We bring science closer to the public. We take publicly available data on natural ecosystems, pollution, carbon emissions etc. and re-elaborate it in a more visually impactful way to reach and inform a larger audience.

The Opportunity

●   Grow an ambitious fact-based and data-oriented NGO

●   Get your work published on Earth.Org, which reaches 1+ million readers every month

●   A fast-paced working environment that lets you grow day by day

●   Flat hierarchies with space for your own ideas in a dynamic, dedicated and motivated team of people with a diverse range of backgrounds

Responsibilities

●   Create powerful, engaging, striking graphics that tell a story. The data team coordinator will provide directions

●   Deliverables include: interactive graphic elements, forecasts derived by data amalgamation

●   Work closely with other team members to understand deliverables

●   Help source and normalise datasets to produce the graphics

●   Find creative visual solutions to hard data issues. Make the story stand out!

●   We want a problem solver who can generate ideas and turn them into concrete actions, independently and entrepreneurially

Essential Qualifications

●   Students still studying or nearing completion in Bachelor’s or Master’s degree (or equivalent) in Statistics, Economics, Engineering or a passion in the analytical field.

●   Passion for data

●   Extensive knowledge in statistics or applied mathematics

●   Familiarity with techniques such as modelling/optimization and experience in using advanced analytical methodologies to answer environmental questions

●   Experience with statistical software such as R, Python, etc.

●   Strong interest in environmental issues/topics

●  Excellent communication skills and proficiency in written and spoken English

●  Proficiency in MS Office & Excel

●  Ability to work collaboratively

 

If you meet the aforementioned requirements, please send your CV and examples of your work, alongside a brief introduction of yourself, to our Data Team Coordinator William at william.kin@earth.org

We look forward to hearing from you!



Apply

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