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PLPlaneground Airport Consulting GmbH

Data Scientist/Analyst in (Air-)Transport(m/w/x)

Köln
Full-timeWith Home OfficeManagement
Green Job
AI/ML
Data Science

Data integration and analytics for airport planning projects at a specialized consultancy. 5-10 years data analytics and advanced data science experience required. International project opportunities, hybrid work.

Requirements

  • Bachelor's or master's degree in relevant field
  • Five to ten years of data analytics experience
  • Advanced level experience in data science
  • Strong analytical skills and industry knowledge
  • Knowledge of inductive and deductive reasoning
  • Knowledge in data integration and processing
  • Skill in data programming languages
  • Skill in business intelligence tools
  • Skill in technology platforms for data assets
  • Critical thinking and project management skills
  • Strong verbal and written communication skills
  • Ability to adapt to changing situations
  • Excellent communication and leadership skills
  • Ability to work collaboratively with teams
  • Passion for creativity and digitalization
  • Familiarity with current software
  • Willingness to travel
  • Highly motivated and enthusiastic attitude
  • Strong communication skills in English and German or Dutch

Tasks

  • Procure data and conduct thorough analysis.
  • Apply advanced data integration methodologies to large data sets.
  • Create solutions for various analytics types.
  • Formulate and communicate solutions and options.
  • Manage project budgets, schedules, and resources.
  • Develop and maintain relationships with clients and stakeholders.

Work Experience

  • 5 - 10 years

Education

  • Bachelor's degreeOR
  • Master's degree

Languages

  • EnglishBusiness Fluent
  • GermanBasic
  • DutchBasic

Tools & Technologies

  • Data programming languages
  • Business intelligence tools
  • Technology platforms for data assets

Benefits

Diverse Work

  • International project opportunities

Startup Environment

  • Co-creation in aviation

Flexible Working

  • Hybrid working options

Career Advancement

  • Self-development prospects

Competitive Pay

  • Competitive salary and benefits
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