Impact Data Analyst

The Educational Equality Institute

Norway

A distancia

NOK 600.000 - 900.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Descripción de la vacante

The Educational Equality Institute is seeking a data analyst to turn platform measurements into verifiable numbers readers can trust. You will work with sessions, hours, and geographic/programmatic data, building clear tables and charts with documented counting methods.

You will explain your approach in plain English and ensure your analysis remains reproducible for future analysts, prioritising accuracy over flashy figures.

Formación

  • Professional data work with SQL, spreadsheets or notebooks.
  • Ability to explain a method in plain English.
  • Focus on accuracy over the size or impressiveness of numbers.

Responsabilidades

  • Work from the measured data we give you: sessions, hours, countries, programmes.
  • Build the tables and charts our reports use, and say how each number was counted.
  • Find what the data does not show, and say so instead of filling the gap.
  • Keep the method written down, so the next analyst gets the same answer.

Conocimientos

SQL
Spreadsheet
Notebook

Descripción del empleo

You turn what the platforms measure into numbers someone outside TEEI can check.

What you would do

Our platforms measure sessions, hours and the countries people join from. The numbers only matter when someone outside can read them and trust them.

  • Work from the measured data we give you: sessions, hours, countries, programmes.
  • Build the tables and charts our reports use, and say how each number was counted.
  • Find what the data does not show, and say so instead of filling the gap.
  • Keep the method written down, so the next analyst gets the same answer.
Who we are looking for
  • You work with data professionally: SQL, a spreadsheet or a notebook.
  • You care more about a number being right than about it being big.
  • You can explain a method in plain English.
What you get

Real, messy, important data, and analysis that is published with its method. The reference we write names what you built.

After you apply

Someone replies by email. Going further means a call, then one question to answer from the data.

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