Data Analyst - Scheduling

ABOUT YOUR ROLE The Scheduling Planner is responsible for developing, optimizing, and executing detailed production schedules that balance machine capacity, material availability, and labor resources against dynamic customer demand. Unlike macro planning or forecasting, this role focuses on real-time operational execution and scheduling efficiency. The individual will act as a pivotal decision-maker on the production floor, proactively driving solutions to resolve bottlenecks, ensuring on-time delivery (SLA/ETD), and optimizing overall manufacturing productivity through data-driven insights. YOUR RESPONSIBILITIES WILL INCLUDE 1. Production Scheduling & Decision Making - Plan & Schedule: Develop and continuously optimize the overall daily and weekly production schedules based on order specifications, established priorities, worker capacity, machinery/equipment capability, and raw material availability. - Drive Solutions: Proactively identify production bottlenecks, capacity overloads, or material shortages. Formulate, propose, and lead action plans to mitigate risks and resolve schedule conflicts. - Improve Adherence: Monitor target vs. actual schedule compliance. Lead post-mortem reviews on scheduling deviations to continuously refine planning parameters and guarantee meet SLA/ETD, CRD (Flexibility), and PD (Reliability) standards. - Performance Analysis: Monitor, analyze, and report on key production metrics including Service Level, Output, UEE (Utilization Equipment Effectiveness), and UPLH (Units Per Labor Hour). Turn data insights into actionable recommendations for management to improve overall factory performance. - Inventory & Materials: Coordinate the timely requisition of materials from the warehouse based on the production timeline, while monitoring and reporting on weekly/monthly production inventory levels to avoid excesses or shortages. 2. Collaboration & Operations - Main Contact Point: Serve as the primary liaison and central coordinator between the Planning, Production, Warehouse (WH), Raw Materials (RM), and Prepress teams to align operational goals. - Production Alignment: Drive cross-departmental alignment on the production plan to consistently meet service level targets and maximize production output. - Master Data Maintenance: Collaborate closely with the Printing and Prepress departments to ensure that color codes, printing methods, delivery times, and UPS (Units Per Sheet) are accurately maintained and updated in the master database. - Constraint Management: Actively propose and execute strategic action plans to navigate dynamic operational constraints, machine breakdowns, or unexpected changes in the production environment. 1. Education & Experience - Education: Bachelor’s degree or higher in Supply Chain Management, Logistics, Industrial Engineering, Business Administration, or related fields. - Experience: 1 to 2 years of hands-on experience in Supply Chain, Material Planning, Production Scheduling, Logistics, or related analytical roles (experience in manufacturing environments is a strong plus). 2. Technical & System Skills - Technical Mindset: Strong analytical, mathematical, and data-driven mindset. Well-organized, logical, and highly detail-oriented. - Data Analysis & Storytelling: * Proficiency in designing, developing, and maintaining complex tables, formulas, graphs, queries, and macros. - Advanced Google Workspace (especially Google Sheets) is a highly preferred plus. - Proven ability to transform raw, complex datasets into meaningful insights and visual stories to influence and persuade stakeholders. - AI Literacy: Solid understanding and practical application of generative AI tools (such as Gemini, ChatGPT, Claude) to draft reports, automate minor workflows, or optimize daily planning tasks. 3. Soft Skills & Special Attributes (Critical Criteria) - Growth Mindset & Curiosity: Demonstrates a continuous improvement mindset and active curiosity to learn new tools, adapt quickly to shifting business priorities, and challenge the status quo. - Strong knowledge in: Production Scheduling/ Flowshop - Job Shop scheduling/ Mathematical modeling/ Basic Python coding / SQL / Database / Probability / Statistics. - Communication & Collaboration: Outstanding verbal and written communication skills. Possesses a strong collaborative mindset capable of leading stakeholders, driving alignment, and facilitating actions across cross-functional teams. - Innovation & Continuous Improvement: Constantly seeking new solutions and driven to find efficiencies and automate manual steps within current scheduling workflows. - Critical Thinking & Time Management: Strong multi-dimensional problem-solving skills; ability to make rapid, logical decisions under pressure and manage workload effectively to meet tight deadlines. - Language Proficiency: Good command of English (Intermediate to Advanced), with the ability to communicate, present, and collaborate smoothly in a multinational environment. - Preferred: Scheduling optimization model development / Operations Research / Simulation - Soft Skills: Strong logical and structured thinking/ Stakeholder management. AVERY DENNISON IS PROUD TO BE CERTIFIED GREAT PLACE TO WORK IN AUSTRALIA, BANGLADESH, CHINA, INDIA, INDONESIA, MALAYSIA, SINGAPORE, THAILAND AND VIETNAM, AND RECOGNIZED AS ONE OF THE BEST COMPANIES TO WORK FOR IN ASIA IN GREATER CHINA AND VIETNAM. AVERY DENNISON IS AN EQUAL OPPORTUNITIES EMPLOYER. Avery Dennison Corporation (NYSE: AVY) is a global materials science and digital identification solutions company. We are Making Possible™ products and solutions that help advance the industries we serve, providing branding and information solutions that optimize labor and supply chain efficiency, reduce waste and mitigate loss, advance sustainability, circularity and transparency and better connect brands and consumers. We design and develop labeling and functional materials, radio-frequency identification (RFID) inlays and tags, software applications that connect the physical and digital and offerings that enhance branded packaging and carry or display information that improves the customer experience. Serving 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 2025 were $8.9 billion. Learn more at .