Posted 19 Aug 2026 (79 days ago) · Job 22052 · Read from the employer's SmartRecruiters board, last checked 6 Nov 2026, 19:28 UTC

Operations Apprentice

Avery Dennison · Shah Alam, Selangor, Malaysia

Apply on Avery Dennison’s siteAsk about this jobApply opens the employer’s own application. Nothing is sent from here.

What the posting says

Each fact was read from this posting and checked:Statedin the posting, quotedConflictsposted two ways, both shownNot mentionedwe looked; it is not there

Employment typeStated
Intern
EducationStated
['bachelor degree', 'professional certificate']

Not mentioned in this posting

We read the whole posting. These are not in it. Not a no: ask the recruiter, in your own words.

PayNot mentioned
The posting does not say
Work arrangementNot mentioned
The posting does not say
ShiftNot mentioned
The posting does not say
ExperienceNot mentioned
The posting does not say
Visa sponsorshipNot mentioned
The posting does not say

Requirements, each with its sentence from the posting

These are the employer’s words. The index does not judge whether you meet them.

  • Bachelor's degree in Computer Science, Data Science, Data Analytics or related fieldrequired

    Currently pursuing or recently completed a Bachelor's degree in Computer Science, Data Science, Data Analytics, or a related fieldfrom the posting

  • Pythonrequired

    Proficiency in data analysis tools (e.g., Python, SQL, Excel)from the posting

  • SQLrequired

    Proficiency in data analysis tools (e.g., Python, SQL, Excel)from the posting

  • Excelrequired

    Proficiency in data analysis tools (e.g., Python, SQL, Excel)from the posting

  • Data analysisrequired

    Strong analytical mindset with the ability to interpret datafrom the posting

  • Valid working permit in Malaysiarequired

    Must hold a valid working permit in Malaysiafrom the posting

Read the full posting as the employer wrote it

Company Description

Avery Dennison Corporation (NYSE: AVY) is a global materials science and digital identification solutions company that provides branding and information labeling solutions, including pressure-sensitive materials, radio-frequency identification (RFID) inlays and tags, and a variety of converted products and solutions. The company designs and manufactures a wide range of labeling and functional materials that enhance branded packaging, carry or display information that connects the physical and the digital, and improve customers’ product performance. The company serves an array of industries worldwide, including home and personal care, apparel, e-commerce, logistics, food and grocery, pharmaceuticals and automotive. The company employs approximately 36,000 employees in more than 50 countries. Reported sales in 2022 were $9.0 billion. Learn more at www.averydennison.com.

ABOUT AVERY DENNISON YONGLE

Yongle Tape, an Avery Dennison company, is a recognized leader in PVC and cloth tapes used for wire harnessing and insulation applications across the automotive, electrical, and industrial sectors. Our products support critical performance and safety requirements in demanding environments, providing reliable solutions for manufacturers worldwide.

Yongle operates manufacturing facilities in Hebei, China, and Shah Alam, Malaysia, supporting customers across regional and global markets with high-quality adhesive tape solutions.

Job Description

  • Data Analysis & Process Improvement: Analyze daily operational data to identify process bottlenecks and efficiency gaps. Develop data-driven recommendations to support continuous improvement initiatives and optimize workflow.

  • Machinery Data Management: Establish systematic methods for collecting, cleaning, and monitoring data from production machinery to ensure accurate performance tracking and historical record-keeping.

  • Automation Projects: Assist the engineering and project management teams in developing automated reports and interactive dashboards to streamline manual data entry and provide real-time operational visibility.

  • Operational Gap Support: Collaborate with production and engineering leads to bridge gaps in daily operations by maintaining accurate documentation, tracking KPIs, and supporting equipment troubleshooting efforts.

  • Cross-Functional Collaboration: Work closely with the Project Management and Engineering teams to translate complex technical data into actionable insights, ensuring clear communication across departments.

 

Qualifications

  • Education: Currently pursuing or recently completed a Bachelor’s degree in Computer Science, Data Science, Data Analytics, or a related field.

  • Technical Skills: Proficiency in data analysis tools (e.g., Python, SQL, Excel) and data visualization software (e.g., Tableau or Power BI). Familiarity with automation concepts and dashboard development.

  • Analytical & Problem-Solving: Strong analytical mindset with the ability to interpret data, identify process bottlenecks, and propose effective solutions.

Additional Information

Must hold a valid working permit in Malaysia

The posting text is reproduced as the employer wrote it; the index adds nothing to it.