At Log-hub, we build advanced Supply Chain Analytics solutions for our customers. We help them to get visibility and make smarter data driven decisions. We develop our tailor made solutions based on the latest cloud technologies.
You will combine analytics and communication skills to architect and enhance Log-hub’s activities, including managing customer projects and help us to build first class analytics solutions.
Responsibilities
- Manage and implement Supply Chain Analytics projects - project management, requirement specification, solution implementation and result communication
- Design, specify and develop advanced analytics solutions
- Work with large, complex data sets and solve difficult, non-routine analysis problems applying Operations Research and Machine Learning methods as needed
- Set up end-to-end data science workflows that include data gathering, processing, analysis, ongoing deliverables and presentations
- Develop additional funcionalities in Python for standard Log-hub solutions
- Interact cross-functionally with a wide variety of people, as well as work closely with Product Development and Sales teams to identify opportunities for design and assess improvements to Log-hub solutions
Qualifications
- Master degree in a quantitative discipline (e.g. operations management, industrial engineering, applied mathematics or similar) or equivalent practical experience
- Extensive experience in:
- Python (Anaconda distribution, especially in Pandas)
- Advanced SQL knowledge
- BI tools (e.g. Microsoft PowerBI)
- Microsoft Office (especially Excel and PowerPoint)
- Experience on Azure Cloud is a plus (Azure VM’s, Azure SQL, Cosmos DB, Azure Functions) or equivalent cloud providers like AWS or Google
- Ideally first experiences on KNIME Data Science platform
- Strong Verbal and Written Communication Skills in English
- Ability to build relations quickly and effectively
- Excellent teamworker and motivator
Sounds interesting? Please send your application.
