Data Analytics Expert (f/m/d) at EndressHauser Ireland Ltd
Kildare, County Kildare, Ireland -
Full Time


Start Date

Immediate

Expiry Date

30 Jun, 25

Salary

0.0

Posted On

30 Mar, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

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.

Responsibilities

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 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
  • Creating reports, dashboards, and visual representations of data analysis findings to communicate insights effectively to stakeholders, enabling informed decision-making
  • 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, etcAny other duties commensurate with your skills and experience and as requested by your manager
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