Do you get excited when your data analysis provides a clear answer to a real world problem? Are you ready to learn the new exciting world of smart robots?Would you like to cooperate with top professionals in our industry?
If your answers are mostly
yes
, then you should keep reading. At
Nomagic
, we’re on a mission to teach robots the real world. We’re now looking for a
Data Analyst Intern
, who will build queries and dashboards to report the performance of our robots and analyze data to support our Customer Success team decisions.
Offer essentials:
- 6 months contract
- Possibility to work 100% remotely
- Truly flexible working hours
- No late evening calls - the entire team is based in Europe
- English-speaking environment
- Play with data every day
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:
- 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
What skills we’d like you to have:
- Basics of SQL
- Ability to learn fast
- Good communication skills
- Experience with BigQuery, Grafana or Looker Studio is a plus
- Python skills are a plus
What should you expect once you apply?
- Codility test
- Short call with a Recruiter
- 45-minute interview with Hiring Manager
- 30-minute interview with one or two members of the data team
Apply for this job