Data Analysis Engineer at Avery Dennison

职位描述

• Act as a technical support to the business team in Operations & Supply Chain, ensuring data solutions directly address the smart manufacturing roadmap and business priorities.
• Deeply understand the operational pain points and business requirements of non-technical stakeholders and translate them into robust, technically feasible data architectures and digital solutions.
• Design, build, and maintain scalable data pipelines to collect, ingest, clean, and aggregate raw data from diverse sources, including MES, SAP, and other shop-floor systems.
• Ensure data quality, consistency, and reliability across the entire data lifecycle by implementing monitoring, validation, and error-handling mechanisms.
• Support and enhance internal AI Agents and analytics tools by providing clean, well-structured data and maintaining data services that enable manufacturing insights and user support.
• Digital Solutions & Automation: Collaborate to develop and deploy end-to-end digital solutions, such as automated workflows (Apps Script/Python) to optimize operational efficiency and reporting processes.
• Team Enablement & Training: Assist in user onboarding and provide support/documentation for cross-functional teams to use self-service tools.

职位要求

• Bachelor's or Master’s degree in Engineering, or a related quantitative field.
• Around 1-2 years of experience (including internships or part-time roles).
• Core Competencies:
• Solid knowledge of database design, data normalization, and data querying with SQL. Understanding of basic data analysis and processing workflows.
• Relevant coursework or experience: programming techniques, data structures and algorithms, Python for Software Engineering.
• Project experience: Have a graduation or internship project related to building data pipelines, web applications, or practical data management systems.
• Background or coursework in manufacturing, industrial engineering, or supply chain data management systems.
• Analytical mindset with strong logical thinking and eagerness to learn and adapt to new technologies.
• Proficient in Google Workspace products (Sheets, Docs, etc.). Hands-on experience working with Gemini, Generative AI or agentic AI tools is a strong advantage.
• Awareness of data security and privacy best practices.
• Team-oriented, proactive, and self-motivated.