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Analytics Engineer
  • Warszawa
Analytics Engineer
Warszawa, Warszawa, Województwo mazowieckie, Polska
Nomagic
7. 11. 2024
Informacje o stanowisku

At Nomagic, we’re on a mission to teach robots the real world. We’re now looking for an Analytics Engineer, who will build data transformation pipelines, queries and dashboards to report the performance of our robots and analyze data to support our Customer Success team decisions.

Offer essentials:

  • Salary: 9 000 - 13 000 PLN gross UoP + equity
  • Play with data every day
  • Truly flexible working hours
  • Possibility to work 100% remotely
  • No late evening calls - the entire team is based in Europe :)
  • English-speaking environment

Here is why we love this job ourselves, and hope you will enjoy it too:

  • We analyze the performance of production robots powered by AI
  • We have plenty of data ready-to-use!
  • We learn new skills every week
  • Our data analysis are key in our decision-making for product evolutions
  • We’re still pretty small, so everyone has a direct impact on the final result
  • We have a very experienced engineering & management team from Google, early unicorns (Criteo, Climate Corp...) & top robotics companies (ABB, Softbank Robotics, Dematic)
  • We combine world-class research with top-notch engineering and apply it to solve real problems

Some of the problems you may try to solve with us:

  • Integrate a new pipeline or logic to our dbt project
  • Write SQL queries to automate the KPI calculations for new production robots
  • Create dashboards to present this data in an easy-to-digest format
  • Conduct one-off data analysis to help decide on priorities for product evolutions
  • Implement a Cloud Function to extract data from a new source

What skills we’d like you to have:

  • Proficient in SQL, Python basics
  • Ability to learn fast
  • Good communication skills
  • Experience with dbt, BigQuery, Google Cloud Functions and Storage, Grafana or Looker Studio is a plus

What should you expect once you apply?

  • SQL Codility test
  • Short call with a Recruiter
  • 45-minute Interview with Hiring Manager
  • 30-minute Interview with one of the Customer Success Team Members


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