Logistics Analytics & Automation Lead

Apple Inc.; Austin, Northern (TX, KY); Hybrid; USD 90,000 - 130,000; Full time

Job summary

Apple Inc. in Austin is seeking a Business Analyst to elevate supply chain intelligence and drive analytics and automation across our logistics operations.

You will pair business insight with technical skills to turn complex data into scalable solutions that inform senior leadership. You will build data-driven models, automate reports with Python pipelines, and apply AI-assisted approaches to speed analysis, all while partnering with cross-functional teams to improve cost, speed, and service

Qualifications

• Bachelor's degree in a related field.
• 3+ years of experience in advanced analytics or operations with data-driven problem solving.
• Proficient in SQL and Python for data wrangling, cleansing, and transformation.
• Strong storytelling with data visualization using ThoughtSpot, Tableau, or Power BI.

Responsibilities

• 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 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 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 cost, speed, and losses.

Skills

Advanced analytics

Data storytelling

AI/ML concepts

Education

Bachelor's degree in Supply Chain, Business Analytics, Data Science, Computer Science, Mathematics/Statistics, Engineering, Business, Finance, Economics, or related field

Tools

SQL

Python

ThoughtSpot

Tableau

Power BI

Job description

Apple Inc. in Austin is seeking a Business Analyst to elevate supply chain intelligence and drive analytics and automation across our logistics operations.

You will pair business insight with technical skills to turn complex data into scalable solutions that inform senior leadership. You will build data-driven models, automate reports with Python pipelines, and apply AI-assisted approaches to speed analysis, all while partnering with cross-functional teams to improve cost, speed, and service