5 Check-in Jobs in Oberösterreich
Deine Aufgaben:
- Check-In der ankommenden Fahrzeuge
- Fehlerdiagnose
- Reparatur- und Wartungsarbeiten
- Montage von Kühlaggregaten in Kühltransportfahrzeugen
- Einhaltung von Arbeitssicherheitsstandards
- Dokumentation der Aufträge
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RESPONSIBILITIES
- 8+ years of Trade Marketing experience with global brands, strong knowledge of the On-Premise industry, and a proven track record across diverse marketing functions
- University degree in Business Management, Marketing, Project Management, or the equivalent field experience
- Excellent command of English, German would be a plus. Other languages advantageous, but not required
- A strategic thinker with exceptional planning, project management, and presentation skills, capable of creating innovative strategies while keeping the broader commercial picture in focus
- An effective communicator who can simplify complex issues, navigate cultural differences, manage multiple stakeholders, and build strong business partnerships
- Self-motivated, innovative, and solution-oriented, with adaptability and the ability to perform under pressure in a fast-paced environment
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RESPONSIBILITIES
- Contribute to projects that drive the global value chain, pricing and promotional efficiency through continuous improvement of global sales controlling processes and tools.
- Contribute to projects that deliver transparency and system integration in the areas of pricing, value chain management, customer and product profitability.
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RESPONSIBILITIES
- 5+ years of experience in Data Science. Previous experience working on Data Science topics in Operations / Supply Chain is a plus.
- Programming: proficient in at least one of R, Python, SQL with the ability and willingness to learn the other two.
- Data Literacy: ability to prepare datasets ensuring top quality such that essence of said data and the implications for the problem at hand can be grasped quickly.
- Technical Literacy: applied understanding of modern computing allows the candidate to do things which go beyond the strict definition of Data Science (git, API calls, web crawling, …).
- Statistical Reasoning: applied understanding of Stats and Probability and know how to use these tools to reduce uncertainty in a business context (regression, visualisation).
- Presentation Skills: present coherent data stories at the appropriate level of abstraction given the audience.
- Stakeholder Management: skilled at building mutually beneficial connections with functional stakeholders.
- Pragmatic Critical Thinking: intuitively consider relevant costs/benefits in all decisions and act accordingly.
- Outcome Driven: highly motivated to add value and to demonstrate that impact to the organisation.
- Scientific Reasoning/ Scoping: ability to define and formulate new questions, in addition to answering given ones.
- Grit: proven capability to see things through to the end even if initial feedback is discouraging.
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RESPONSIBILITIES
- Minimum of 2-3 years of professional experience as a data professional (e.g. data engineer, data scientist) or in a business/IT consulting position
- Strong and proven knowledge in SQL and database cloud solutions, ideally Snowflake, combined with proficiency in standard data architecture design and modelling.
- Expertise in using Python and Git/Github is expected; familiarity with PySpark and Snowpark will be a strong plus
- Experience in creating interactive web apps (e.g., using Streamlit or RShiny) and knowledge of business intelligence tools like Tableau and Power BI are beneficial
- Strong communication and presentation skills.
- Team-player and collaborative (“copy-left” vs “copyright”).
- Proactive, self-motivated, and able to work on different projects in parallel.
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