Data Analyst
Nhà Bè, Vietnam
Avery Dennison
Avery Dennison is a global materials science company specializing in the design and manufacture of a wide variety of labeling and functional materials.Company Description
About Avery Dennison
Avery Dennison (NYSE: AVY) is a global materials science company specializing in the design and manufacture of a wide variety of labeling and functional materials. The company’s products,
which are used in nearly every major industry, include pressure-sensitive materials for labels and graphic applications; tapes and other bonding solutions for industrial, medical, and retail applications; tags, labels and embellishments for apparel; and radio frequency identification (RFID) solutions serving retail apparel and other markets. Headquartered in Glendale, California, the company employs more than 30,000 employees in more than 50 countries.
Reported sales in 2020 were $7.0 billion. Learn more at www.averydennison.com.
Job Description
- Create data gathering process tools for metric tracking
- Support routine audit following requirement from global guideline
- Report the operations and service metrics in the global platforms
- Build up dashboard and measure the performance of operational metrics in every product line
- Facilitate metrics reportage and provide tools to control the manual input of information and prevent mistakes
- Develop reports to the leadership team about the operations status such as backlog, productivity metrics, shortage reports and order status
- Undertake any other ad-hoc duties as assigned
Qualifications
- College/ Bachelor degree in Data Analytics, Computer Science, Industrial Engineering, or related field
- Good Oral and written communication skills
- Strong Office (Excel, GG Sheet) skills
- Experience in data visualization and reporting
- Ability to work independently and as part of a team
- Proficiency in Advanced Excel and Google Sheets for data analysis and reporting
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data analysis Data Analytics Data visualization Engineering Excel Industrial
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