Avery Dennison

1 week ago

Data Analyst - Scheduling

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Develop and continuously optimize daily and weekly production schedules by balancing order priorities, machine capacity, material availability, and labor resources. Act as a key decision-maker on the production floor—resolving bottlenecks, capacity overloads, and material shortages while ensuring SLA/ETD delivery. Monitor and analyze production metrics (Service Level, UEE, UPLH), translating data into recommendations, and coordinate material requisitions and inventory visibility across teams.

Location: Vietnam

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Entry level

Key Responsibilities

•Develop and continuously optimize daily and weekly production schedules based on orders, priorities, worker capacity, equipment capability, and raw material availability.
•Identify bottlenecks, capacity overloads, and material shortages, and lead action plans to mitigate risks and resolve scheduling conflicts.
•Monitor schedule adherence (target vs. actual) and run post-mortems on deviations to refine planning parameters and meet SLA/ETD standards.
•Track and analyze production metrics (Service Level, Output, UEE, UPLH) and convert insights into recommendations to improve factory performance.
•Coordinate timely material requisitions from the warehouse and monitor weekly/monthly production inventory levels to avoid excesses or shortages.

Key Requirements

•Bachelor’s degree or higher in Supply Chain Management, Logistics, Industrial Engineering, Business Administration, or a related field.
•1–2 years of hands-on experience in Supply Chain, Material Planning, Production Scheduling, Logistics, or related analytical roles.
•Strong analytical and data-driven mindset with high attention to detail.
•Proficiency building and maintaining tables, formulas, graphs, queries, and macros; advanced Google Workspace (especially Google Sheets) is preferred.
•Practical generative AI literacy (e.g., Gemini, ChatGPT, Claude) to draft reports, automate workflows, or improve daily planning tasks.

Experience:1-2 yearsManufacturing

Education:Bachelor's

Skills:AnalyticalDetail-orientedCommunicationCollaborationTime management

Languages:English

Tech Stack:Google SheetsGoogle WorkspacePythonSQLDatabaseMacrosQueriesTablesFormulasGraphsGenerative AIGeminiChatGPTClaudeMathematical modelingSimulationOperations research

Company Brief

Avery Dennison

Produces pressure-sensitive materials, labels, tags, packaging solutions, and RFID inlays and software for retail, logistics, and industrial customers. The company serves global brands with products that help identify, track, and enhance merchandise and supply chains.

Industry: Printing & Packaging

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Glendale, United States

Founded: 1935

Website LinkedIn

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Avery Dennison

1 week ago

Data Analyst - Scheduling

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Location: Vietnam

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Entry level

Key Responsibilities

•Develop and continuously optimize daily and weekly production schedules based on orders, priorities, worker capacity, equipment capability, and raw material availability.
•Identify bottlenecks, capacity overloads, and material shortages, and lead action plans to mitigate risks and resolve scheduling conflicts.
•Monitor schedule adherence (target vs. actual) and run post-mortems on deviations to refine planning parameters and meet SLA/ETD standards.
•Track and analyze production metrics (Service Level, Output, UEE, UPLH) and convert insights into recommendations to improve factory performance.
•Coordinate timely material requisitions from the warehouse and monitor weekly/monthly production inventory levels to avoid excesses or shortages.

Key Requirements

•Bachelor’s degree or higher in Supply Chain Management, Logistics, Industrial Engineering, Business Administration, or a related field.
•1–2 years of hands-on experience in Supply Chain, Material Planning, Production Scheduling, Logistics, or related analytical roles.
•Strong analytical and data-driven mindset with high attention to detail.
•Proficiency building and maintaining tables, formulas, graphs, queries, and macros; advanced Google Workspace (especially Google Sheets) is preferred.
•Practical generative AI literacy (e.g., Gemini, ChatGPT, Claude) to draft reports, automate workflows, or improve daily planning tasks.

Experience:1-2 yearsManufacturing

Education:Bachelor's

Skills:AnalyticalDetail-orientedCommunicationCollaborationTime management

Languages:English

Tech Stack:Google SheetsGoogle WorkspacePythonSQLDatabaseMacrosQueriesTablesFormulasGraphsGenerative AIGeminiChatGPTClaudeMathematical modelingSimulationOperations research

Company Brief

Avery Dennison

Industry: Printing & Packaging

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Glendale, United States

Founded: 1935

Website LinkedIn