Renewable Energy

Data Analyst (m/f/d)

Saerbeck, Germany | Pisa, Italy

full-time

Enapter is a unique, fast growing and award-winning electrolyser manufacturer on a mission to replace fossil fuels with green hydrogen. We’re a big international team, driven and united by a common vision and guided by our core principles – urgency, simplicity and transparency. To learn about our plan to help flip global warming, please read the Enapter Whitepaper. If it thrills you as much as it thrills us, this position might be for you.  

We are looking for a Data Analyst (m/f/d) to join our R&D Stack team in Saerbeck, Germany/Pisa, Italy and assist us with Mining, reorganizing and manipulation of data. On this role you will be not only focused on aforementioned but also on integration of local acquisition system into cloud-based platform.

Aufgaben

  • Mining data from primary and secondary sources and interpreting them using statistical tools 
  • Reorganizing data in a format that can be easily read by either human or machine. 
  • Filtering and “cleaning” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems 
  • Creating visualizations of data and preparing reports for executive leadership that effectively communicate trends, patterns, and predictions using relevant data. 
  • Collaborating with programmers, engineers, and organizational leaders to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance 
  • As part of our team, you will be involved in the integration of local acquisition system into cloud-based platform. 

Dein Profil

  • First things first: Enthusiasm for the part green hydrogen will play in tomorrow’s world and Enapter’s role in it 
  • Degree in Engineering, Chemistry, Mathematics, Computer Science or other related fields 
  • Experience in Programming languages, such as SQLPython, Matlab 
  • Experience in Data analytics and Machine learning Python packages, such as scikit-learn, pandas, numpy. Experience with Deep Learning packages such as TensorFlow, Keras, PyTorch is a plus 
  • Knowledge of industrial acquisition systems and their integration in laboratories and cloud platforms is a plus 
  • Experience in working with timeseries databases such as TimescaleDB, interactive notebooks such as Jupiter Notebooks, and with data visualisation tools such as Grafana or Tableau is a plus 
  • General understanding of big data analysis approaches and specifics is a plus 
  • A methodical and logical approach and excellent mathematical ability 
  • Excellent organizational skills and the ability to meet tight deadlines 
  • Excellent attention to detail and accuracy 
  • Excellent Teamworking skills 
  • Excellent Problem-solving skills 
  • Excellent written and verbal communication skills in English is a must, Italian/German is a plus 

You don’t meet all the requirements listed, but you like the tasks and the working environment and think you are up to the challenges? Then get in touch anyway and tell us why. We look forward to hearing from you! 

Wir bieten

  • The opportunity to help shape the future of energy in one of the most dynamic companies in the hydrogen industry 
  • An exciting workspace close to our upcoming Enapter Campus, in the climate-community of Saerbeck, NRW  
  • A market-oriented compensation package 
  • Lots of responsibility and creative freedom 
  • Truly flat hierarchies and great, green colleagues  

We know that diverse groups drive progress faster. As a company with focus on R&D, this is particularly important to us and why we embrace and celebrate diversity. We explicitly welcome any application that brings additional perspectives to Enapter. So, if you believe that you can draw from your unique background and experiences to add new perspectives to our team, please tell us about this. We look forward to hearing from you! 

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