Americas Logistics-Business Analyst

Apple • Austin, TX

6d

About The Position

The Americas Logistics team is seeking a Business Analyst to elevate supply chain intelligence and drive analytics and automation across our logistics operations. You will pair business sense with strong analytical and technical skills to turn complex logistics data into valuable, scalable solutions. You will transform complex datasets into business insights with creativity, technical skill, and strategic focus. You will craft sophisticated models and interactive visualizations to drive informed decision-making. You will partner with cross-functional stakeholders to understand their requirements, apply analytics to uncover insights, and build automation that improves team efficiency. You will communicate findings in relatable terms to senior leadership, highlighting business impact and guiding strategic choices, and navigate ambiguity in a fast-paced, dynamic environment. Become an authority on Ops KPIs and complexity to optimize operations. Automate routine reporting using Python-based data pipelines to cut manual, repetitive effort. Use AI-assisted tools such as LLMs and GenAI assistants to speed up routine analysis, summarize findings, and surface insights. Build data-driven models that draw on multiple sources to drive the business and support key decisions. Provide key inputs to alignment discussions and planning, such as weekly operations reviews with Logistics, Planning, and channel partners. Aggregate logistics insights across the Americas to influence decisions that optimize cost, speed, and losses. Lead process and system improvements backed by data analysis. Build measurement frameworks that drive corrective action and improve the customer and operational experience. Drive standardization of team deliverables and reporting. Lead or participate in cross-functional teams from concept to implementation and to resolve business or systems issues.

Requirements

• Bachelor's degree in Supply Chain, Business Analytics, Data Science, Computer Science, Mathematics/Statistics, Engineering, Business, Finance, Economics, or a related field.
• 3 or more years of experience in advanced analytics or relevant operations, with a track record of solving complex business problems with data.
• Proficient in analyzing large, complex datasets from multiple sources using SQL/Python for data wrangling, cleansing, and transformation.
• A keen eye for design and proven ability to tell compelling stories using data visualization tools such as ThoughtSpot, Tableau, or Power BI.
• Strong curiosity for understanding business needs and translating them into tangible analytical outputs, with a foundational understanding of AI/ML concepts to help guide the development of innovative, technology-driven solutions.
• Proven data-driven decision-making skills, with the ability to influence peers and gain acceptance of others in sensitive situations.
• Extensive experience in reporting, data mining, and ad hoc analytics tools, adept at working with large quantities of data from a variety of sources; advanced Excel skills including macros.
• Ability to articulate complex AI/ML concepts in business terms, tell a story that highlights key insights, and present analysis effectively to senior leadership.
• Aptitude to synthesize quantitative and qualitative signals, rapidly understand complex business processes, and think strategically to execute operational strategies that produce measurable improvement.
• Demonstrated collaboration, leadership, and influencing skills, with comfort operating in a fast-paced, highly matrixed environment.

Nice To Haves

• MBA or advanced degree preferred.
• Process improvement experience such as Six Sigma or BPI is a plus.
• Core functional skills in Operations, Supply Chain, Logistics, and Supply/Demand Planning.

Responsibilities

• Automate routine reporting using Python-based data pipelines to cut manual, repetitive effort.
• Use AI-assisted tools such as LLMs and GenAI assistants to speed up routine analysis, summarize findings, and surface insights.
• Build data-driven models that draw on multiple sources to drive the business and support key decisions.
• Provide key inputs to alignment discussions and planning, such as weekly operations reviews with Logistics, Planning, and channel partners.
• Aggregate logistics insights across the Americas to influence decisions that optimize cost, speed, and losses.
• Lead process and system improvements backed by data analysis.
• Build measurement frameworks that drive corrective action and improve the customer and operational experience.
• Drive standardization of team deliverables and reporting.
• Lead or participate in cross-functional teams from concept to implementation and to resolve business or systems issues.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level