Data Science and Supply Chain Analyst
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Responsibilities
The role is responsible for leveraging advanced analytics, statistical modeling, and data visualization tools such as Power BI and Sigma to optimize supply chain and business operations. The position will focus on developing scalable data architectures, mining large datasets, and applying data science methodologies to generate actionable insights that improve decision‑making and operational efficiency. The role will also utilize Microsoft Power Platform technologies to streamline workflows, automate data processes, and support supply chain planning and execution. This position collaborates closely with cross‑functional teams to support supply chain objectives, identify process improvements, and implement data‑driven initiatives that improve operational efficiency and reduce costs.
Qualifications
- Engineering or Data Analytics graduate
- At least 5 years of work experience
- At least 3 years in Data Analytics / Data Science field
Work Conditions
The role has a mid shift schedule (2pm to 11pm). Candidates are expected to be flexible based on business needs. The work arrangement is hybrid; employees report on‑site three times a week.
Equal Opportunity Employer
Copeland is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.
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