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Data Analyst Battery Cell Testing (all genders)

PowerCo

Salzgitter

Hybrid

EUR 50.000 - 80.000

Vollzeit

Vor 8 Tagen

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Zusammenfassung

An innovative firm is seeking a data analyst to join its pioneering battery cell production team. This role focuses on the research and development of lithium-ion battery technologies, emphasizing data management, analysis, and visualization. You will leverage advanced algorithms and scripting languages to automate processes and enhance data insights. With flexible working hours and the possibility of a 4-day work week, this position offers a unique opportunity to contribute to cutting-edge technology in a dynamic environment. Join a forward-thinking company that values creativity and collaboration in a rapidly evolving industry.

Leistungen

Flexible working hours
Possibility of a 4-day work week
30 days paid leave
10 days unpaid leave
Mobile work options
Relocation support

Qualifikationen

  • Strong expertise in big data processing and automation using scripting languages.
  • Proven knowledge in statistics and data mining with a solid understanding of Python.

Aufgaben

  • Design, code, test, and implement programs for automated data analysis.
  • Close communication with IT for effective data management and storage.

Kenntnisse

Data Management
Data System Architectures
Automated Data Analysis
Data Visualization
Machine Learning
Deep Learning
Python
SQL
Statistics
Problem-Solving Skills

Ausbildung

Degree in Electronics
Degree in Physics
Degree in Computer Science

Tools

Matlab
JMP
Tableau
Cloud Storage Systems

Jobbeschreibung

With Whom You Will CELLebrate

Unsere Mission ist gestartet. Wir beginnen im Battery Valley in Salzgitter mit unserer eigenen Batteriezellproduktion und dem Ramp-up unseres weltweiten Headquarters für die weltweiten Zellfertigungen. Das Gesamtressort Technik trägt Verantwortung für den technischen Entwicklungsprozess der Batteriezelle. Die Zuständigkeiten umfassen Forschung, Vorentwicklung von Zellmaterialien und -komponenten, Material- und Serienentwicklung, Prototypenbau, Erprobung und Analytik von Batteriezellen.

How You Will CELLebrate

  1. Expert positions as a data analyst in the field of lithium-ion battery R&D with a focus on:
  • Data Management and Data System Architectures
  • Computer-aided data analysis, including automated data analysis and visualization
  • Advanced mining algorithms (AI, deep learning, and machine learning)
  • Specification, development and implementation of data management and data storage tools
  • Design, code, test and implement programs and scripts for automated and standardized data analysis and data visualization in the field of lithium-ion cell validation and testing
  • Close communication with PowerCo IT
  • What You Need For Our CELLebration

    1. Successfully completed studies in a scientific field (electronics, physics, computer science or other STEM fields) or comparable training
    2. Strong expertise in the processing, visualization and analysis of big data as well as the automation of processes with the help of a scripting language
    3. Proven knowledge of statistics and data mining, as well as a solid understanding of Python, Matlab, JMP, SQL, and Tableau
    4. Experience with intelligent algorithms (machine learning, deep learning, and artificial intelligence)
    5. Detailed knowledge of database systems and cloud storage systems
    6. Strong problem-solving skills, a high level of analytical competence and effective interpersonal skills to articulate difficult technical issues in close collaboration with battery cell and materials engineers in international projects
    7. Fluent in English or German

    What Else Can You Bring

    1. Experience with battery technologies
    2. Professional experience, preferably in the automotive industry
    3. Experience in test and data management
    4. Good communication skills in an international and intercultural environment as well as willingness to travel internationally

    What To Look Forward To

    1. Flexible working hours from 28 to 40h per week
    2. Possibility of a 4-day-week (up to 35h per week)
    3. 30 days paid + 10 days unpaid leave
    4. Mobile work options
    5. Relocation support
    6. More benefits to come
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