DATA ANALYTICS SPECIALIST (all genders) Supply Chain Engineering

STREMLER AG Lindau (Bodensee)

Stellenbeschreibung:

DATA ANALYTICS SPECIALIST (all genders) Supply Chain Engineering

STREMLER AG specializes in integrated supply chain solutions. Our customer companies plan and control their production and logistics close to the market and in real time. In this way, we increase the productivity of leading companies in various industries throughout Europe and make them fit for the digital future. Specialist knowledge is just as important to us as an understanding of our customers' challenges. We offer our employees exceptional opportunities to develop professionally and personally and to develop and drive innovation together in diverse teams.

Analysis of customer data according to key supply chain parameters

Intelligent and creative use of data to answer questions about business processes, product structures, market behavior, etc., including model-based statistical analyses as a basis for designing and implementing integrated supply chain engineering solutions

Modelling, simulation and parameterization of supply chain models

Proficiency in data transformations and statistical calculations in Excel, SQL, etc. as well as strong data visualization skills. Experience with SAP and Power BI is an advantage

Recording customer wishes and requirements on site at the customer's premises

Strong communication and visualization skills and the ability to transform complex data sets into understandable and actionable insights and present them to management to support their decisions and strategies

Independent, autonomous and goal-oriented processing of data analysis projects for the conception and implementation support of real-time planning and control architectures

Take responsibility for analysis projects from start to finish with the ability to deliver innovative and pragmatic solutions on time and within budget

Development of specifications based on the service catalogs of the STREMLER REALTIME TECHNOLOGIES modules

Further development of the service and product offering and application of new smart analytics methods with the integration of AI

Completed university degree

At least 5 years of professional experience in industry or consulting. Very good university degree, e.g. in statistics, physics, mathematics, computer science or related subjects

Experience in the implementation and realization of IT projects in the areas of sales, production, logistics and procurement is an advantage

Project and management experience

High social skills and enjoy working in a team-oriented and responsible manner, also as a mentor for younger team members

Ability to recognize overarching operational contexts

Analytical thinking and mathematical-statistical knowledge

Advanced knowledge of Excel

SAP and Power BI knowledge is an advantage

Willingness to travel is a prerequisite

Fluent English and German are required, knowledge of French is an advantage

our range

Interesting projects with well-known international companies and groups, mainly in Germany, Benelux and France

Modern and innovative working environment

Above-average income

Personal and professional development opportunities through entrepreneurial tasks and creative possibilities

Medium-term perspective of assuming responsibility for a profit center

STREMLER AG is located where others go on vacation, with a high recreational value also for families. In addition to the inspiring nature, the border triangle on Lake Constance has developed into an up-and-coming economic area. If you are open to new ideas, enjoy taking on responsibility and want to help shape the digital future of the industry, we look forward to receiving your detailed application documents, stating your expected income and earliest possible starting date. We guarantee you absolute discretion.

YOUR CONTACT

T +49 (0) -0, F +49 (0) ,

We are looking forward to your application

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Stelleninformationen

  • Veröffentlichungsdatum:

    04 Jan 2026
  • Standort:

    Lindau (Bodensee)
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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