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Data Analytics Expert (f/m/d)

Analytik Jena AG

Ireland

On-site

EUR 40,000 - 60,000

Full time

30+ days ago

Job summary

A global leader in measurement technology is seeking a Data Analytics Expert to support its Global Logistics Operations Center. This role involves translating complex data into actionable insights, collaborating with teams to solve challenges, and creating reports to improve operational efficiency. Ideal candidates will have a background in IT or relevant fields, excellent skills in Tableau and SQL, and strong analytical abilities. Opportunities for personal and professional development are offered in a diverse team environment.

Benefits

Emphasis on personal and professional development
Diverse team environment
Security of an internationally active family business

Qualifications

  • Bachelor in a relevant field or strong experience in freight forwarding.
  • Excellent knowledge of Tableau and SQL.
  • Strong analytical thinking and problem-solving abilities.

Responsibilities

  • Collaborate with G-LOC teams to solve business challenges.
  • Create reports and dashboards to communicate insights.
  • Run analysis projects and assess processes based on data.

Skills

Data analytics
Tableau
SQL
Analytical thinking
Problem-solving

Education

Bachelor in IT Systems, Computer Science, Mathematics, or Physics

Tools

Tableau
Data management software
Job description
Overview

Endress+Hauser is a global leader in measurement instrumentation with ~17,000 employees shaping the future in process automation. As a family-owned company, we focus on building trusted relationships that help people and industries thrive, with a forward-thinking vision for our people, our clients, and the world.

What is the role about?

The Data Analytics Expert will support the Global Logistics Operations Center (G-LOC) by translating complex data into actionable insights and recommendations to guide business strategies, improve operational efficiency, and optimize decision-making processes.

Responsibilities
  • Close collaboration with the G-LOC teams to understand business challenges and find solutions through data analytics
  • Create reports, dashboards, and visual representations of data analysis findings to effectively communicate insights to stakeholders and enable informed decisions
  • Run analysis projects and assess processes based on data analytics
  • Project management in developing and setting up IT infrastructure for Warehouse
  • Support discussions and requirements gathering among stakeholders and document requirements to provide data-driven recommendations
  • Assist with acceptance testing and developing project plans
  • Facilitate regular calls for CIP and workshops
  • Evaluate and monitor data quality and plausibility
  • Develop and maintain processes and documentation
  • Perform operational tasks related to the data infrastructure: performance tuning, security, backups, etc.
  • Handle any other duties commensurate with your skills and as requested by your manager
Qualifications
  • Bachelor in IT Systems, Computer Science, Mathematics, Physics (or other sciences) with relevant professional experience
  • Alternatively strong experience in freight forwarding with IT affinity and secondary education
  • Excellent knowledge of Tableau (Tableau Certification such as Desktop Specialist and Data Analyst preferred)
  • Skills in SQL; machine learning knowledge is an advantage
  • Experience translating data into business understanding and bridging IT and business functions
  • Strong analytical thinking and problem-solving ability
  • Programming experience, familiarity with SQL and data management/analysis software
  • Willingness to travel internationally
What can you expect from us?
  • A start-up character with the security of an internationally active, successful family business
  • A diverse, high-culture team and opportunities to develop multicultural expertise
  • Emphasis on personal and professional development, including trainings in Logistics, Digitalization and Continuous Improvement
How to apply?

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