Data Analyst at Avery Dennison

Nhà Bè, , Vietnam -

Full Time

Start Date

Immediate

Expiry Date

20 Jan, 26

Salary

0.0

Posted On

22 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Production Scheduling, Customer Service, AI Knowledge, Forecasting, Optimization, Collaboration, Reporting, Mathematical Skills, Organizational Skills, Communication Skills, Process Improvement, Excel Proficiency, Microsoft Office, Detail-Oriented

Industry

Packaging and Containers Manufacturing

Description

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. Our products and solutions include labeling and functional materials, radio frequency identification (RFID) inlays and tags, software applications that connect thy physical and digital, and a variety of products and solutions that enhance branded packaging and carry or display information that improves the customer experience. Serving an array of industries worldwide - including home and personal care, apparel, general retail, e-commerce, logistics food and grocery, pharmaceuticals and automotive - we employ approximately 35,000 employees in more than 50 countries. Our reported sales in 2023 were $8.4 billion. Learn more at www.averydennison.com. 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. Job Description ABOUT YOUR ROLE: - Responsible for planning and coordinating production schedules to ensure all orders are fulfilled on time and in accordance with service commitments to customers. - Enhance operational efficiency by leveraging Artificial Intelligence (AI) for forecasting, optimization, and making data-driven decisions on scheduling and service. YOUR RESPONSIBILITIES WILL INCLUDE: - Production Scheduling & Planning: + Analyze orders and develop detailed daily and weekly production plans based on factory capacity. + Collaborate with cross-functional teams (e.g., Production, Warehouse, etc.) to optimize schedules and resources, minimizing lead times and bottlenecks. + Monitor, control, and adjust production schedules in response to changes or issues. - Customer Service Management: + Ensure delivery timelines and service quality commitments are consistently met. + Work closely with the Sales and Customer Service (CS) teams to promptly address customer inquiries and order-related issues. + Track and analyze service performance metrics (Flexibility, Reliability, Output reliability, OIP, UEE, UPLH,...). - AI-Powered Process Optimization: + Apply AI knowledge to develop more accurate forecasting models for production and delivery timelines. + Utilize AI tools to optimize production schedules, automate planning processes, and propose optimal solutions for complex situations. + Analyze historical data to identify trends and patterns, guiding strategic decisions to improve overall service performance. - Reporting & Analysis: + Prepare periodic reports on scheduling performance, order completion status, and key service indicators. + Analyze data and propose continuous improvement initiatives to boost efficiency. Qualifications • Bachelor's degree. 0-3 years SML or related experience. • Good analytical, mathematical, organizational, verbal and written communication skills and detail-oriented. • Ability to interface with cross-functional groups to define and execute overall requirements. • Familiarity in process documentation and improvement. • Ability to design, develop, and maintain excel tables, formulas • Understanding of applicable computer systems, such as Microsoft Office and function specific software.

Responsibilities

The Data Analyst is responsible for planning and coordinating production schedules to ensure timely order fulfillment. They will enhance operational efficiency by leveraging AI for forecasting and optimization.