Reinach BL
Yesterday
Data Analyst Supply Chain Management (m/f/d) 80-100%
- Publication date:05 December 2025
- Workload:80 – 100%
- Place of work:Reinach BL
Job summary
Join Endress+Hauser as a Data Analyst in Supply Chain Management! Collaborate in a supportive environment to drive meaningful change.
Tasks
- Analyze complex datasets to identify supply chain trends.
- Develop actionable solutions for procurement processes globally.
- Create dashboards and visualizations to aid decision-making.
Skills
- Bachelor's or Master's in Data Science or related field required.
- Strong analytical skills and experience in data consolidation.
- Proficient with Business-Intelligence tools and data visualization.
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About the job
At Endress+Hauser, progress happens through collaboration. As a globally leading provider of measuring instruments, our approximately 17,000 employees shape the future in the field of process automation. Whether in the innovation and implementation of new technologies within the team, collaboration in the development of new devices, or strengthening important relationships with various global industries: Our work is based on building trusting relationships that help everyone succeed. As a family-run company, we look beyond short-term goals and work to create a future-oriented vision for our employees, our customers, and the world in general.
We are looking for a Data Analyst Supply Chain Management (m/f/d) to complement our team and translate data-based insights into concrete improvements for our global supply chain.
What is this position about?
Do you enjoy recognizing patterns in complex data? Are you passionate about turning numbers into strategies? Do you like working with different teams to optimize processes?
Then this position is just right for you. As part of our Supply Chain Management team at the Reinach production site, you will work closely with global stakeholders to develop data-driven solutions that increase efficiency and support strategic decisions.
What tasks will you take on?
You will:
- collect, evaluate, and interpret complex data sets to identify trends and optimization potentials in the global supply chain.
- develop actionable measures for improvement of global supply chain and procurement processes.
- design and convincingly present data-driven solutions to management teams to support corporate goals.
- collaborate with process and data owners to consolidate accurate information from various sources.
- create dashboards, KPIs, and visualizations to monitor performance and enable informed decisions.
- participate in automation initiatives and explore predictive analytics and machine learning approaches to optimize supply chain processes.
What do we expect from you?
You:
- have a bachelor’s or master’s degree in Supply Chain Management, Data Science, Industrial Engineering, or a comparable field.
- possess strong analytical skills and experience in consolidating and conducting advanced data analyses.
- are proficient in using business intelligence tools, data visualization, and KPI development.
- ideally have practical experience with SAP Business Warehouse, SAP Analytics Cloud, Power Query, Power BI, Snowflake, or dbt, as well as programming skills (e.g., Python).
- have excellent communication, stakeholder management, and problem-solving skills.
- are fluent in English; German skills are an advantage.
What can you expect from us?
- We are a family company with great commitment and a sustainable vision.
- We promote lifelong learning through diverse training and development opportunities, internal knowledge transfer, and e-learning.
- We offer flexible working time models and the possibility for mobile work to support a balanced work-life balance.
- We support sustainable mobility with offers such as public transport subsidies for easy commuting.
- We provide modern workplaces with ergonomic workstations for comfort and productivity.
- We offer attractive company pension schemes as well as health services for your well-being.
How to apply?
To apply, please upload your documents on our career page. Applications sent to us by email cannot be considered due to data protection reasons.
Agencies, personnel service providers, or similar companies are kindly asked to refrain from unsolicited submission of profiles and inquiries about possible cooperation. Currently, we do not work with external service providers for this position. All unsolicited applications from service providers will not be considered and will be deleted without further review. We thank you for your understanding.
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About the company
Reinach BL
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