4 Field Service Jobs in Oberösterreich
RESPONSIBILITIES
- 7+ years of experience in FMCG industry and/or Technology, with at least 3 years focused on digital transformation in sales and distribution managing high performing teams
- Bachelor/Master degree from University, Technical University (FH Schule) or college in Business, Information Technology, or related field.
- Excellent command of English (written and spoken), German is a plus
- Track record implementing CRM, sales force automation, and/or Distribution Management platforms in FMCG environments
- Strong project management and stakeholder engagement skills
- Solid understanding of retail execution, distributor management, trade marketing, and field sales dynamics
- Entrepreneurial in solving problems and focused on delivering results
- Strong communicator with the ability to simplify complex concepts and strong selling skills to influence various stakeholders
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RESPONSIBILITIES
- University degree in Business Management, Project Management, Economics, or equivalent field experience
- Excellent command of English, German preferred. Other languages are advantageous, but not required
- Strong, sociable presence with excellent communication skills across cultures
- Proven knowledge and network in the QSR, Fast Casual, and Coffee-Tea-Bistro industry
- Skilled in PowerPoint and Excel for impactful presentations and analysis
- Motivated to win new business and open to frequent travel
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RESPONSIBILITIES
- Requirements engineering
- Ensuring robust test management and smooth implementation
- Overseeing data quality
- Providing global key user support
- Delivering comprehensive training to enable user proficiency
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RESPONSIBILITIES
- 4+ years of experience in Data Science. Previous experience working as a Machine Learning Expert is a plus
- Masters or Doctorate in relevant field, for instance: Mathematics, Statistics, Science (including data, behavioural, social, econ, ...)
- Good command of English, both spoken and written. German a plus
- Programming: know 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
- Statistical Reasoning: theoretical and applied understanding of Stats, Probability and ML Algorithms and know how to use these tools to reduce uncertainty in a business context (regression, visualization)
- 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, …)
- 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 organization
- 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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