3 Forecasting Jobs in Oberösterreich
Intro
- Vertragsmanagement
- Kalkulation und Nachverfolgung von Änderungen und Nachträgen des Leistungsumfangs (Claims)
- Durchführung monatlicher Kostenkontrollen (Forecasting & Reporting)
- Unterstützung des Projektmanagements bei Zahlungsanträgen, Rechnungen und Claims sowie bei kaufmännischen Entscheidungen
- klare und proaktive Kommunikation von kaufmännischen Themen
- Teilnahme an regelmäßigen Projekt-Meetings (intern und extern)
- Aufzeigen und Kommunikation von Problemstellungen bzw. -lösungen an das Projektmanagement
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RESPONSIBILITIES
- Experience in FMCG, Business, or IT, with strong project management and problem-solving skills
- University Degree in Economics, Business Administration or similar or equal practical experience
- Excellent English skills, German is an advantage
- Analytical mindset with great attention to detail, structured thinking, and a process-driven approach
- Proficient in Microsoft Office; experience with BI tools or coding languages (e.g. Power BI, Tableau, Python, SQL) is a plus
- Strong communication, presentation, and organizational skills to clearly convey insights and solutions
- Self-motivated learner who works well independently and in teams
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RESPONSIBILITIES
- 3+ 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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