Data Analytics Apprentice

IE, W91 W866

Endress+Hauser Group

People for Process Automation offer you solutions and products in flow, level, liquid analysis, optical analysis, pressure, temperature measurement, software and system products

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At Endress+Hauser, progress happens by working together. As the global leader in measurement instrumentation, our ~17.000 employees 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.

 

What is the role about?

 

The Data Analytics team is responsible for, owning the Data Warehouse to enable an efficient IT infrastructure to meet the demands of a fast-paced Global Logistics Operations Center. creating reports, dashboards, and visual representations of data analysis findings to communicate insights effectively to stakeholders, enabling informed decision-making. Translating complex data into actionable insights and recommendations that can guide business strategies, improve operational efficiency, and optimize decision-making processes.

 

Which tasks will you perform?

 

•    Close collaboration with the G-LOC teams to understand business challenges and find solutions through data analytics. 
•    Running analysis projects and assessing processes based on data analytics
•    Project Management in developing and setting-up IT infrastructure for Warehouse
•    Support discussion and requirements among stakeholders and documenting requirements to provide data-driven recommendations.
•    Assisting with acceptance integration/testing and developing project plans
•    Facilitate regular calls for e. g. CIP and workshops 
•    Evaluation and monitoring of quality and plausibility of data
•    Development and maintenance of processes and documentation 
•    Perform operational tasks related to the Data infrastructure: performance tuning, security, back-up, etc. 
•    Any other duties commensurate with your skills and experience and as requested by your manager.

 

What do we expect from you?

 

•    Close collaboration with the G-LOC teams to understand business challenges and find solutions through data analytics. 
•    Running analysis projects and assessing processes based on data analytics
•    Project Management in developing and setting-up IT infrastructure for Warehouse
•    Support discussion and requirements among stakeholders and documenting requirements to provide data-driven recommendations.
•    Assisting with acceptance integration/testing and developing project plans
•    Facilitate regular calls for e. g. CIP and workshops 
•    Evaluation and monitoring of quality and plausibility of data
•    Development and maintenance of processes and documentation 
•    Perform operational tasks related to the Data infrastructure: performance tuning, security, back-up, etc. 

•    Any other duties commensurate with your skills and experience and as requested by your manager.

 

What can you expect from us?

 

•    We offer you a start-up character and at the same time the security of an internationally active, successful family business
•    High culture diverse team, enhancing your multi-cultural expertise
•    We attach great importance to the personal and professional development of our employees, such as trainings and continuing education in Logistics, Digitalization and Continuous Improvement

 

 How do you apply? 

 

To apply, please upload your documents on our career page. Due to Data Privacy Considerations, we cannot accept applications sent via email

 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Analyst Jobs

Tags: Data analysis Data Analytics Data warehouse Privacy Security Testing

Perks/benefits: Career development Startup environment

Region: Europe
Country: Ireland

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