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Data Analyst

Data Analyst

Berlin, Permanent

Orange Quarter are working with a growing company in the Edtech space to hire a Data Analyst. They have created a learning system for maths, which is adaptive and replaces traditional printed textbooks or exercise books. Their solution boosts learning by enabling students to learn from their mistakes, correcting mistakes in real time.  Contents can be tailored to curriculums, and teachers receive comprehensive reports on the student’s progress, and can track gaps in their understanding. Their product includes visualisations and exercises for different problems to ensure students can apply and practice different mathematical skills. Their team is made up of experienced engineers, mathematicians, academics and teachers who work together to improve the way mathematics is taught.


OQ-industries Education

What to expect:

You’re going to join the team as the Data Analyst and will work directly with C-Level leaders and senior management across the business. This is a small company of around 40 people and you will have ownership of Data and Analytics. The company’s revenue has grown exponentially over the last year and they’ll be investing hugely in product development, sales, marketing and expanding their market share. As they do so, having an established culture of data-driven decision making across these areas will be ever increasingly important. The role is end-to-end, so while analytics is the largest part of the role, you will be expected to enhance data collection and work on some data cleaning topics. This also means that you’ll have to be proactive about improving processes, data practices,


  • Full ownership of Data and Analytics
  • Competitive salary
  • Work for a business with a very high social impact


  • Enhance data-collection within the business, across BI and their Learning Analytics product
  • Reporting to management, through common reporting tooling
  • You're familiar with Pentaho, AWS-X, SQL AND NoSQL databases
  • Python or R as a bonus
  • A startup mindset, happy to work across the full spectrum of analytics tasks

Sounds good?

Apply now
For more information, connect with our specialised team member on LinkedIn Thomas Long