Logo Hapag-Lloyd AG

Lead Data Analyst

Job

  • Level
    Erfahren
  • Job Feld
    Data
  • Anstellung
    Vollzeit
  • Vertragsart
    Unbefristetes Dienstverhältnis
  • Ort
    Hamburg
  • Arbeitsmodell
    Hybrid
  • Job Technologien

    Deine Rolle im Team

    1. You will apply your data science, advanced analytics, and business intelligence expertise to decisively shape our Data & Analytics Academy
    2. Combine your technical expertise and your passion for people and learning by enabling colleagues from all parts of the organization to develop the data & analytics capabilities they need
    3. As part of our team, you will design, develop and instruct modules and courses of Hapag-Lloyd's Data & Analytics Academy by
    4. Liaising with stakeholders to identify training needs across the business
    5. Establishing the curriculum of data & analytics trainings and career paths
    6. Actively planning and delivering data & analytics training modules
    7. Providing academic support and guidance to (prospective) trainees as mentor
    8. You will also dive into the data yourself to implement first uses cases and support your colleagues in using our state-of-the-art tools (e. g. DataBricks, Qlik Sense, alteryx) and
    9. Additionally, connect our growing global analytics community through hands-on labs, best practice sessions, and online events and
    10. Stay on top of the newest technologies by constantly challenging the status quo and promoting state-of-the art analytics tools within Hapag-Lloyd

    Unsere Erwartungen an dich

    Ausbildung

    • Have a solid educational background in either business intelligence, data science, advanced analytics or a related quantitative field (alternatively: equivalent practical experience)

    Qualifikationen

    • You should be excited about working with people, transferring knowledge, developing skills, and changing behaviors
    • Feel comfortable in an instructor role delivering trainings and courses on basic to advanced data & analytics topics across organizational boundaries and professional functions
    • You should be interest in taking responsibility for individual deliverables of the Data & Analytics Academy and develop them further
    • Have an interest to support individuals from across the organization along their learning journey by enabling them to solve their data & analytics questions with your guidance
    • Be creative and entrepreneurial in shaping and extending our Data & Analytics Academy portfolio according to future business needs
    • You should further have excellent command of spoken and written English and feel at home working in international and interdisciplinary teams
    • Be motivated to apply your passion for data & analytics within the world of global logistics to build a strong community and an excellent competence building portfolio

    Erfahrung

    • You optimally have experience with using a BI and data science technology stack (e.g. QlikSense, Tableau, AWS, DataBricks, Alteryx)
    • Ideally, you already have relevant practical experience in transferring knowledge and fostering competences building in a professional setting

    Benefits

    Essen & Trinken

    Work-Life-Integration

    Gesundheit, Fitness & Fun

    Mehr Netto

    Job Standorte

    Map of company locations
    • Standort Hamburg

      Standort Hamburg

      Deutschland

    Das ist dein Arbeitgeber

    Hapag-Lloyd AG

    Hapag-Lloyd AG

    Hapag-Lloyd ist eine der weltweit führenden Linienschifffahrtsgesellschaften. Das Unternehmen hat rund 13.000 Mitarbeiter und 392 Niederlassungen in 129 Ländern. Hapag-Lloyd verfügt über eine Containerkapazität von etwa 2,5 Millionen TEU - darunter eines der größten und modernsten Flotten an Reefer-Containern.

    Description

  • Unternehmensgröße
    250+ Employees
  • Gründungsjahr
    1847
  • Unternehmenstyp
    Etablierte Firma
  • Arbeitsmodell
    Full Remote, Hybrid, Onsite
  • Branche
    Logistik, Transport
  • Logo Hapag-Lloyd AG

    Lead Data Analyst

    Ort
    Hamburg
    Arbeitsmodell
    Hybrid

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