Data Science And Supply Chain Analyst

Copeland

Hybrid (3 days onsite per week)
5 years work experience
3 years data analytics or data science
Power bi and sigma tools
Copeland is seeking a Data Science and Supply Chain Analyst to enhance their supply chain operations through advanced analytics and data science methodologies. The ideal candidate will possess a strong background in data analytics, have at least five years of relevant experience, and be comfortable working in a hybrid environment

Job Summary

  • The role is responsible for leveraging advanced analytics and statistical modeling to optimize supply chain and business operations.
  • Copeland is a global climate technologies company engineered for sustainability that protects temperature-sensitive goods throughout the cold chain.
  • Employees benefit from flexible time off plans including paid parental leave, vacation, and holiday leave.

Matching Summary

Match Score: 85

Copeland is seeking a Data Science and Supply Chain Analyst to enhance their supply chain operations through advanced analytics and data science methodologies. The ideal candidate will possess a strong background in data analytics, have at least five years of relevant experience, and be comfortable working in a hybrid environment.

Skills & Requirements

Must-have

  • 5 years work experience
  • 3 years Data Analytics or Data Science
  • Power BI and Sigma tools
  • Microsoft Power Platform technologies
  • Mid shift schedule availability

Nice-to-have

  • Cross-functional collaboration skills
  • Process improvement mindset
  • Scalable data architecture knowledge

Key Requirements

  • Engineering or Data Analytics graduate degree
  • Minimum 5 years of total work experience
  • At least 3 years in Data Analytics/Science field

Work Rights

Not specified

Tailored Resume

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