Data Analyst

2 weeks ago


Thành phố Hồ Chí Minh, Vietnam Avery Dennison Full time

Full-time

**Company Description**:
**_ Avery Dennison (NYSE:AVY_**_)_ is a global materials science and digital identification solutions company that provides a wide range of branding and information solutions that optimize labor and supply chain efficiency, reduce waste, advance sustainability, circularity and transparency, and better connect brands and consumers.

AVERY DENNISON IS PROUD TO BE CERTIFIED GREAT PLACE TO WORK IN AUSTRALIA, CHINA, INDIA, JAPAN, SINGAPORE, MALAYSIA, THAILAND AND VIETNAM, AND RECOGNIZE AS ONE OF THE BEST COMPANIES TO WORK FOR IN ASIA IN GREATER CHINA AND VIETNAM.

As a Data Analyst, you will play a vital role in the manufacturing or supply chain environment, working directly across multiple cloud platforms (including GCP, OCI, and other data storage platforms). You will collaborate with stakeholders to collect, clean, analyze, and interpret data, supporting strategic and operational decisions through actionable insights.
- Data Collection & Collaboration: Work closely with cross-functional teams to gather and understand business data requirements from various platforms such as Google Workspace, Microsoft Office, local MES, IoT systems, and other data storage solutions.
- Data Cleaning & Processing: Extract, clean, and process large datasets from diverse sources, ensuring data accuracy using languages like Google Apps Script, SQL, and Python.
- Data Analysis & Reporting: Analyze data, create reports and dashboards, and communicate findings with stakeholders.
- Automation & Quality Checks: Assist in developing automated workflows, data validation routines, and reporting processes, leveraging cloud platforms and related integrations.
- Documentation & Continuous Improvement: Document procedures and contribute ideas to continually improve data processes and tool utilization within the Google ecosystem and other platforms.

**Qualifications**:

- Less than 2 year of experience (including internships or part-time roles).
- Practical experience with SQL and Python.
- Proficient in Google Workspace products (Sheets, Apps Script, etc.).
- Analytical mindset with strong logical thinking.
- Eagerness to learn and adapt to new technologies, especially within the cloud environments.
- Ability to communicate data insights clearly to non-technical audiences.
- Team-oriented, proactive, and self-motivated.

**Additional Information**:


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