Americas Logistics - Distribution Center (DC) Data Operations Analyst
24 days ago Austin, TX
About us
Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.
- Size: 10,000+ employees
- Industry: Technology: Manufacturing
Why you should apply for a job to Apple:
Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity
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Imagine what you could do here. At Apple, new insights have a way of becoming extraordinary products, services and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! This is where individual imaginations gather, committing to the values that lead great work.
Apple products are made with revolutionary precision to perform exactly as promised. And because customers all over the world eagerly await that experience, we built a supply chain that's equally revolutionary. Logistics operations help provide a high quality experience for our customers. You will drive impact by ensuring processes are optimized for scale/efficiency, while also delivering on our high expectations for customer experience. As the DC industrial engineer (IE) you must operate with a lean mindset, identifying systemic friction points, eliminating waste, and building scalable solutions that optimize the network.
Description
This position requires a deep understanding of Apple's DC network operations and the intersection with inbound and outbound transportation. The candidate must be able to work cross-functionally to identify opportunities that improve speed and customer satisfaction while minimizing costs. This requires expertise in industry best practices and data analytics to quantify the opportunities and implement solutions. You will need to manage a network that must scale to peak volumes that may or may not be planned and work with 3PLs to build capabilities to support this.","responsibilities":"Design and validate DC layouts to ensure KPIs for labor, throughput and lead times are met.
Develop, own, and communicate the DC IE KPIs and project roadmap at multiple 3PLs to our senior leadership team.
Create, modify, and develop new views and tools to drive continuous improvement with data.
Design and validate warehouse automation using data driven approaches.
Work with third party logistics (3PL) partners and vendors to drive data driven process and design optimizations.
Identify cost reduction opportunities across the AMR DC network and implement solutions that realize them.
Continuously focus on building new capabilities within the AMR DC network that improve the customer experience.
Collaborate with cross functional teams to drive supply chain excellence.
Preferred Qualifications
Experience with industry benchmark studies (e.g. MOST) and Lean-Six Sigma
Proven track record of continuous improvement through the application of Lean principles.
Strong work ethic with a high degree of flexibility to manage ambiguity.
Ability to work cross-functionally and build relationships in a dynamic environment that manages large scale events, such as Apple's New Product Introductions (NPIs).
Excellent written and verbal communication skills.
MS/MBA preferred
Minimum Qualifications
Strong data analytics with ability to extract key insights from large data sets (e.g. through Tableau and/or AI).
Industrial Engineering, Supply Chain, Business, BS/BA degree required
Experience working with 3PLs or leadership roles within warehouses.
Experience working with warehouse/manufacturing simulation models to design/improve warehouse operations.
Apple products are made with revolutionary precision to perform exactly as promised. And because customers all over the world eagerly await that experience, we built a supply chain that's equally revolutionary. Logistics operations help provide a high quality experience for our customers. You will drive impact by ensuring processes are optimized for scale/efficiency, while also delivering on our high expectations for customer experience. As the DC industrial engineer (IE) you must operate with a lean mindset, identifying systemic friction points, eliminating waste, and building scalable solutions that optimize the network.
Description
This position requires a deep understanding of Apple's DC network operations and the intersection with inbound and outbound transportation. The candidate must be able to work cross-functionally to identify opportunities that improve speed and customer satisfaction while minimizing costs. This requires expertise in industry best practices and data analytics to quantify the opportunities and implement solutions. You will need to manage a network that must scale to peak volumes that may or may not be planned and work with 3PLs to build capabilities to support this.","responsibilities":"Design and validate DC layouts to ensure KPIs for labor, throughput and lead times are met.
Develop, own, and communicate the DC IE KPIs and project roadmap at multiple 3PLs to our senior leadership team.
Create, modify, and develop new views and tools to drive continuous improvement with data.
Design and validate warehouse automation using data driven approaches.
Work with third party logistics (3PL) partners and vendors to drive data driven process and design optimizations.
Identify cost reduction opportunities across the AMR DC network and implement solutions that realize them.
Continuously focus on building new capabilities within the AMR DC network that improve the customer experience.
Collaborate with cross functional teams to drive supply chain excellence.
Preferred Qualifications
Experience with industry benchmark studies (e.g. MOST) and Lean-Six Sigma
Proven track record of continuous improvement through the application of Lean principles.
Strong work ethic with a high degree of flexibility to manage ambiguity.
Ability to work cross-functionally and build relationships in a dynamic environment that manages large scale events, such as Apple's New Product Introductions (NPIs).
Excellent written and verbal communication skills.
MS/MBA preferred
Minimum Qualifications
Strong data analytics with ability to extract key insights from large data sets (e.g. through Tableau and/or AI).
Industrial Engineering, Supply Chain, Business, BS/BA degree required
Experience working with 3PLs or leadership roles within warehouses.
Experience working with warehouse/manufacturing simulation models to design/improve warehouse operations.
Additional Information
- Posted: 24 days ago