Data Analyst job opportunity at Avery Dennison.

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Date2026-05-11T15:50:31.181Z bot
Avery Dennison Data Analyst
Experience: General
Pattern: Full-time
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loacation Lot E01, Trung Tam Street, Long Hau IZ, Tay Ninh, Can Giuoc, Vietnam
loacation Lot E01, Trung..........Vietnam
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Job DescriptionABOUT YOUR ROLE  As a Data Analyst, you will play a vital role in the manufacturing or supply chain environment, acting as the bridge between data analytics and system development. Working directly across multiple cloud platforms (including GCP, OCI, and other data storage platforms), you will collaborate with stakeholders not only to analyze data for strategic insights but also to build, automate, and deploy end-to-end digital solutions that optimize daily operational efficiency. YOUR RESPONSIBILITIES WILL INCLUDE Digital Solutions & Automation: Develop and deploy end-to-end digital solutions, including web applications (FastAPI/Flask/React) and automated workflows (Apps Script/Python/cloud integrations) to optimize operational efficiency and reporting processes.Data Analytics: Extract, process, and analyze data using Google Apps Script, SQL, and Python from various platforms such as Google Workspace, Microsoft Office, local MES, IoT systems, and other data storage solutions to create interactive dashboards and communicate actionable findings.AI & Cloud Solutions Adoption: Participate in projects utilizing AI-driven tools. Build integrated AI applications involving Generative AI APIs and agentic AI tools to support data analysis in cloud platforms like Google Cloud Platform (GCP) and Oracle Cloud Infrastructure (OCI).Documentation, Quality & Continuous Improvement: Document system architectures, develop and maintain data validation routines, and drive continuous improvement of data processes and tool utilization across the Google ecosystem and other platforms.Team Enablement & Training: Facilitate hands-on training sessions for cross-functional team members to improve their proficiency in interpreting data and using self-service tools for daily operational decision-making.

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