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Apple

Designs phones, computers and their operating systems

Delivery Exception Management Logistics Analyst

Logistics & TransportationConfirmed live in the last 24 hours
Full-timeAustin, TX, USANo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Supply Chain, Engineering, Business, Finance, Economics, or a related field.
  • Six or more years of experience in Transportation, Supply Chain, Logistics, or Operations, preferably in exception management, claims, loss prevention, or freight security.
  • Deep experience in a fast-paced logistics or operations environment, with end-to-end knowledge of inbound, outbound, forward, and reverse logistics, ideally in delivery exception management, carrier claims, loss prevention, or freight security.
  • A strong investigative mindset and attention to detail, with the ability to combine and analyze large, complex datasets from multiple systems to find root causes, quantify financial impact, and drive decisions.
  • Reporting and presentation skills, including the ability to turn complex findings into clear actions for senior leaders and carrier partners.
  • Ability to influence and gain acceptance across teams, carriers, and internal customers in sensitive situations such as carrier negotiations and loss investigations, while building relationships with senior stakeholders.
  • Advanced Excel skills.
  • Ability to tell compelling stories using data visualization tools such as ThoughtSpot, Tableau, or Power BI.

Responsibilities

  • Analyze delivery exceptions, losses, damage, and theft across all routes to market to identify root causes, repeat patterns, and emerging risks.
  • Quantify financial exposure from carrier failures, credits, and claims, and build the business case for corrective action.
  • Drive carrier claims and recovery performance by partnering with carriers to improve claim accuracy, resolution time, and recovery rates.
  • Partner with Product Security to identify high-value shipment risks, drive data-led loss investigations, and strengthen carrier vetting and freight security controls.
  • Shift the team from reactive case resolution to upstream defect prevention by building joint data visibility with carriers and logistics operations so recurring failures are caught and stopped at the source.
  • Connect data across order management, shipment tracking, carrier, claims, and service systems to create a single, trusted view of each exception.
  • Serve as the team's authority on exception, loss, and claims key performance indicators, influencing internal teams and carriers to act when performance moves outside agreed service-level agreements.
  • Transition routine reporting and investigation steps to proactive, exception-based dashboards that give stakeholders self-service visibility.
  • Use artificial intelligence-assisted tools, including large language models, generative artificial intelligence assistants, and document and image analysis, to speed up investigations, review proofs of delivery and shipping documents, summarize findings, and surface patterns.
  • Help shape a next-generation exception management platform by defining business rules, data requirements, and integration needs, and by testing and validating new capabilities before launch.
  • Standardize exception and investigation processes across distribution centers, carriers, and channels so work is consistent, measurable, and scalable.
  • Lead exception and loss readiness for peak events such as New Product Introductions and Order By Deliver By.
  • Provide key inputs to weekly and quarterly operations and carrier business reviews with Logistics, Planning, Finance, Product Security, carriers, and senior leadership.
  • Lead cross-functional and global initiatives across time zones from concept to implementation with minimal guidance.
  • Coach and mentor junior analysts, set the bar for data quality and investigative rigor, and improve how the team operates.

Desired Qualifications

  • Experience with Tableau, ThoughtSpot, Business Objects, SAP, customer relationship management systems, and artificial intelligence/machine learning tools is a distinct advantage.
  • Ability to operate independently in an ambiguous, deliverable-focused environment, adapting to changing priorities and tight deadlines.
  • Foundational understanding of artificial intelligence/machine learning concepts and how they can automate investigations and improve decisions.

About the Company

Apple

Designs phones, computers and their operating systems

Apple designs and sells consumer electronics, from iPhone smartphones and Mac computers to tablets and wearable devices. Its operating systems manage apps and built-in functions for communication and work, while iCloud stores files and synchronizes data across devices. Customers buy additional digital services through subscriptions such as Apple Music and Apple TV, and developers distribute software through the App Store. Apple earns money from hardware sales, subscriptions and digital transactions, selling directly to customers and through retailers and mobile carriers around the world. It was founded in 1976 and has its headquarters in Cupertino, California.

Company size
10,001+
Company stage
IPO
Headquarters
Cupertino, CA
Founded
1976

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