Level: Experienced

Job Field: BI, Data

Employment Type: Full Time

Contract Type: Permanent employment

Salary: from 4.000 € Gross/Month

Location: Linz

Working Model: Onsite

Job Summary

In this role, you will develop data-driven use cases to optimize logistics processes and create predictive models while working closely with business departments and IT.

Job Technologies

Your role in the team

They develop and implement data-driven use cases to optimize and automate logistics processes (e.g., network, transportation, and inventory optimization).
They conduct complex analyses and develop predictive models to support strategic questions and informed decision-making.
In close collaboration with IT and business units, you shape the analytics landscape and develop scalable data models as well as reporting solutions.
As an interface between the business and technical departments, you translate requirements into data-driven solutions and promote the use of analytical methods.

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Our expectations of you

Education

Completed degree in (Business) Informatics, Data Science, Statistics, Industrial Engineering, or a comparable field with a strong quantitative focus.

Qualifications

Proficient in German, both spoken and written
Solid programming skills in Python
Knowledge of visualization tools (e.g., Power BI, Posit) desirable
Analytical, structured working style and good understanding of complex contexts
Ability to translate business management issues into data-driven models
Independent, proactive work approach and willingness to explore new paths.
Strong communication skills and confident action at interfaces, including in an international environment.

Experience

Several years of experience in the data environment (e.g., Data Analytics, Data Engineering), ideally in retail or related to logistics / supply chain.
Experience with data platforms (e.g., Snowflake) is advantageous.

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What we offer

Salary from €4,000 with a clear willingness to pay above, depending on qualifications and professional experience.
Crisis-proof employer
Appreciative corporate culture with strong team cohesion as well as regular exchange and team events
Extensive training opportunities
Diverse development and career opportunities within the company
Health-promoting measures and offers to compensate for screen work
Attractive additional benefits such as employee discounts, perks with partner companies, meal allowances, and other benefits.