Data Analysis Engineer

Carl Zeiss Pty Ltd

Powerbi operation and architecture
Excel formulas and pivot tables
Python programming for scripts
The role involves utilizing and analyzing manufacturing data to improve departmental and operational KPIs such as yield, energy consumption, and on-time delivery

Job Summary

  • The role involves utilizing and analyzing manufacturing data to improve departmental and operational KPIs such as yield, energy consumption, and on-time delivery.
  • Candidates are expected to continuously enhance existing dashboards and visualization use cases while developing real-time warning scripts for process engineers.
  • The position requires standardizing data analysis methods, applying AI tools to maintenance engineering, and providing internal training on data literacy.

Matching Summary

The role involves utilizing and analyzing manufacturing data to improve departmental and operational KPIs such as yield, energy consumption, and on-time delivery.

Skills & Requirements

Must-have

  • PowerBI operation and architecture
  • Excel formulas and pivot tables
  • Python programming for scripts
  • SQL statement usage
  • Fluent English communication

Nice-to-have

  • AI tools application in engineering
  • Proactive and result-oriented mindset
  • Strong logical and organizational skills
  • Ability to work under pressure
  • Experience with data security risk assessment

Key Requirements

  • Fluent English proficiency
  • Basic Python programming capability
  • Proficiency in SQL and Excel
  • Experience with PowerBI

Work Rights

Not specified

Tailored Resume

Cover Letter