Job Details

Americas Central Logistics-Business Analyst

Austin, Texas, United States

Operations and Supply Chain

Summary

Posted: Aug 22, 2025

Weekly Hours: 40

Role Number: 200616021-0157

Imagine what you could do here! At Apple, where innovation and excellence thrive, we're seeking an analytical visionary to elevate our supply chain intelligence, supporting analytics and automation opportunities for the AMR Logistics Operations team. If you're thrilled by transforming data into actionable insights and impacting global operations, this opportunity is your calling. Embrace your ambition with us and join a team that values creativity in data science as much as precision in execution.

Description

The Americas Logistics Business Analyst will transform complex datasets into impactful business insights with a blend of creativity, technical prowess, and strategic focus. You will spearhead data-driven efforts, crafting sophisticated models and interactive visualizations to illuminate the dynamics of our AMR supply chain. Collaborate with cross-functional stakeholders to understand domain-specific requirements, applying data science to uncover insights, drive informed decision-making, and implement automation initiatives that enhance team efficiency by eliminating non-value-added tasks. Communicate findings in relatable terms to senior leadership, highlighting business impact and guiding strategic choices.Navigate ambiguity with ease in a fast-paced, dynamic environment to deliver innovative business analytics.

Minimum Qualifications

• Bachelor’s degree in Data Science, Machine Learning, Business Analytics, Computer Science, Mathematics/Statistics, or related fields.

• Proficient in analyzing large, complex datasets using Python for data wrangling, cleansing, and transformation.

• A keen eye for design and proven ability to tell compelling stories leveraging data visualization tools like Tableau, ThoughtSpot, or Power BI.

• At least 3 years of experience in advanced analytics, with a track record of leveraging data science and machine learning techniques to solve complex business problems.

• A proactive problem-solver capable of delivering end-to-end project solutions in a highly collaborative, rapidly changing environment.

• Strong curiosity for understanding business needs and translating them into tangible analytical outputs that lead to meaningful impact

Preferred Qualifications

• Ability to articulate complex AI/ML concepts in business terms, know how to tell a story to highlight key insights, and present analysis effectively to key partners.

• Can easily cut through ambiguity and can rapidly understand complex business process and details.

• Proven ability to operate comfortably and effectively in a fast-paced, highly-matrixes, rapidly changing environment.

• Demonstrated collaboration as well as leadership and influencing skills

• Proven ability to identify and implement automation opportunities, leveraging Python or Robotic Process Automation (RPA) to streamline repetitive tasks

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.