Data Analyst & Engineer with Data Science background

At Lufthansa Systems, our goal is to make flying even safer, more efficient and more comfortable. We digitize the airline industry by supporting all airline processes with our market-leading IT solutions and services. As a Data Analyst & Engineer with Data Science background you will be responsible for executing, maintaining and extending our forecast model for network planning – as well as counseling it jointly with the customers of our network planning product.

Your tasks

  • Preparation and execution of studies and customer workshops
  • Data preparation and modelling within the scope of product implementation projects, including on-site support for customers
  • Identification and analysis of business and technical requirements for software, platforms and infrastructure as well as development and implementation of appropriate measures
  • Maintenance and further development of the responsible components (forecast models, processes & scripts, data preparation and modelling, tool use, etc.)
  • Close cooperation with product management, product architecture, product experts and application operations in all issues related to the responsible components
  • Handling of customer enquiries, complaints and complex service requests
  • Consulting and instructing software developers, product consultants, product experts and customer representatives, if necessary

 Your profile

  • University degree in a relevant area such as Mathematics, IT, Business Informatics or a similar field
  • Knowledge of statistics and data modeling and several years of practical experience with statistical forecasting models
  • Good knowledge of programming languages R and Python as well as knowledge in SAS is desirable
  • Strongly methodical / analytical approach, ability to solve complex problems
  • Willingness to travel and perform on-site operations at customers locations worldwide

Állás adatai

Pozíció megnevezés: Data Analyst & Engineer with Data Science background
Munkavégzés helye: Budapest
Terület: Szoftverfejlesztés
Napi munkaidő: 8
Nyelvek: Angol
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