Data Analyst Supply Chain Management

At Endress+Hauser, progress happens by working together. As the global leader in measurement instrumentation, with over 17,000 employees we shape the future in the field of process automation. Whether developing and realizing new technology as a team, collaborating to build instrumentation, or strengthening vital relationships with countless global industries, we work to create trusted relationships that help everyone thrive. As a family-owned company, we look beyond short-term moves and work to create a vision that is forward-thinking for our people, our clients, and the world at large.

We are looking for a Data Analyst Supply Chain Management (f/m/d) to join us and turn data into actionable insights that optimize our global supply chain.

What is the role about?

Do you enjoy uncovering patterns in complex data? Are you passionate about transforming numbers into strategies? Do you thrive when collaborating with diverse teams to improve processes?

If so, this role is for you. As part of our Supply Chain Management team at our Production Centre in Reinach, you will work closely with global stakeholders to design data-driven solutions that enhance efficiency and support strategic decisions.

Which tasks will you perform?

You will:

• collect, analyze, and interpret complex data sets to identify trends and opportunities for optimization.
• develop actionable recommendations to improve global supply chain and sourcing processes.
• design and present data-driven solutions to management teams, ensuring alignment with business goals.
• collaborate with process and data owners to gather accurate information from multiple sources.
• create dashboards, KPIs, and visualizations to monitor performance and support decision-making.
• contribute to automation initiatives and explore predictive analytics and machine learning approaches to optimize supply chain processes.

What do we expect from you?

You:

• hold a Bachelor's or Master's degree in Supply Chain Management, Data Science, Industrial Engineering, or a related field.
• bring strong analytical skills with experience in consolidating and performing advanced data analysis.
• are proficient in the use of business intelligence tools, data visualization, and KPI development.
• have hands-on experience with SAP Business Warehouse, SAP Analytics Cloud, Power Query, Power BI, Snowflake or dbt, and programming languages (e.g., Python) is a plus.
• possess excellent communication, stakeholder management, and problem-solving skills.
• are fluent in English, German is an advantage.

What can you expect from us?

• We are a family-owned, highly committed company with a sustainable vision.
• We promote lifelong learning with versatile training and further education opportunities, internal knowledge transfer and e-learning.
• We prioritize Work-Life Balance, offering flexible working hours and remote work opportunities to support our employees in maintaining a healthy balance.
• We provide support with sustainable mobility solutions such as public transport to facilitate easy commuting for our employees.
• We ensure our employees work in State-of-the-Art Facilities equipped with ergonomic workstations to enhance productivity and comfort.
• We prioritize Employee Well-Being by offering a comprehensive company pension scheme and access to health offers that support our employees' overall wellness.

How do you apply?

To apply we kindly ask you to upload your documents on our career page. Applications sent to us by E-Mail can unfortunately not be considered due to Data Privacy Considerations.

Agencies, HR service providers, or similar entities are kindly requested to refrain from unsolicited submission of profiles and inquiries regarding potential collaboration. Currently, we do not engage with external service providers for this role. Any unsolicited applications will be disregarded and deleted without further consideration. We appreciate your understanding.

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