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Data Analyst / Data Scientist

Job

  • Level
    Experienced
  • Job Field
    Data
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment
  • Location
    Oldenburg
  • Working Model
    Hybrid, Onsite
  • Job Summary

    In this role, you will analyze datasets using statistical methods to validate forecasts, optimize internal processes, and contribute to renewable energy projects while collaborating with interdisciplinary teams.

    Job Technologies

    Your role in the team

    • As a Data Analyst, you operate at the intersection of programming, statistics, and critical thinking. Your range of responsibilities:
    • With your datasets, you lay the foundation for professional analyses and thus ensure the highest quality of our forecasts.
    • You validate performance forecasts using existing statistics and analysis tools.
    • Process analysis: For the substantive and operational further development of our prediction system, you apply appropriate data science methods, identify internal process weaknesses, and develop concepts for optimization.
    • In addition, you will be involved in internal and external projects, including providing statistical data, and will take on project management responsibilities.
    • You will work closely with our teams from Meteorology, Research, and Software Development.

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    Our expectations of you

    Education

    • You have completed your engineering or natural sciences degree in Data Science / Analytics, Mathematics, (Geo)Physics, Meteorology, or a comparable field.

    Qualifications

    • Ideally, you have gained initial professional experience in the field of data analysis, Big Data, artificial intelligence (AI), or machine learning (ML), preferably as a Data Analytics Manager, Data Engineer, or in a similar role.
    • For you, data analysis is a bit like detective work: you enjoy searching for clues that lead you to the core and engaging with complex issues – you bring analytical strength to understand and question.
    • Even during time-critical phases, we can rely on your dedicated commitment – you support your team beyond core working hours and always keep the goal in focus.
    • You communicate in a team-oriented manner and feel confident in both German and English; additional language skills are an advantage.
    • We are pleased with additional knowledge in renewable energies, energy markets, or numerical weather prediction, and maybe you have even set up a weather model – you certainly enjoy learning new things.

    Experience

    • You are certainly familiar with statistics, analysis methods, and algorithms - experience in software development and Python programming is also desirable.

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    What we offer

    • Your workday is varied, your tasks are challenging, and your team is motivated.
    • Permanent employment contract - we are thinking long-term with you.
    • Flexible working hours and recording of every overtime: You don't have to be there at 7 a.m. What matters to us is that you give your full commitment when you're there.
    • Remote work is also possible.
    • You will have the opportunity to work on meaningful projects in the renewable energy sector and to contribute your potential and ideas.
    • Flat hierarchies and short decision-making paths - our managers have open ears and doors.
    • The atmosphere is good even outside of our office spaces.

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    Topics You Will Work On

    Job Locations

    • Location Oldenburg

      Niedersachsen

      Germany

    About Your Employer

    Vde Verlag Gmbh

    Vde Verlag Gmbh

    Der VDE VERLAG gilt im deutschsprachigen Raum als einer der renommiertesten Fachverlage für Elektrotechnik und lnformationstechnik. Das Spektrum unseres Angebotes reicht dabei von Normen über Fachbücher und Fachzeitschriften bis zu Seminaren.

    Description

  • Company Size
    50-249 Employees
  • Company Type
    Established Company
  • Working Model
    Hybrid, Onsite
  • Industry
    Media, Publishing
  • Logo Vde Verlag Gmbh

    Data Analyst / Data Scientist

    Location
    Oldenburg
    Working Model
    Hybrid, Onsite
    Diversity
    Open for all genders

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