채용
Imagine what you could do here. At Apple, new ideas 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. The people here at Apple don't just build products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple and help us leave the world better than we found it.
Premier operational excellence is a cornerstone of Apple's ability to consistently surprise and delight our customers. The Americas Retail Fulfillment Operations team at Apple is seeking a Business Analyst Manager who combines deep business acumen with technical fluency. In this role you will lead a team of analysts while also having an opportunity to be hands-on with analytics yourself. You'll serve as a critical bridge between RFO business operations and cross functional technical teams - translating complex business needs into requirements that engineering and technology partners can act on.
This role balances driving today's operational excellence with shaping tomorrow's capabilities, including contributing to the long-term vision for technologies like AI/ML, generative AI, forecasting, and supply chain health visibility. You'll also ensure alignment across the Americas while coordinating with EMEIA, APAC, and Worldwide teams to share ideas, leverage existing solutions, and avoid duplicated effort.
Description
The Americas Retail Fulfillment Operations Business Analyst Manager is responsible for:
Team Leadership:
Lead team of business analysts focused on Retail and Online route to market metrics and insights
Guide team with building models, analyzing data, and developing insights
Develop team capabilities in modern analytics approaches including Python, AI/ML, and generative AI applications
Become an authority on supply chain KPIs and complexities to optimize Retail Fulfillment Operations
Business-to-Technical Translation:
Serve as primary liaison between RFO and cross-functional teams on technology initiatives
Translate business requirements and operational needs into clear technical specifications that technical parter teams can execute against
Represent RFO's perspective in discussions about technology solutions, ensuring business context is understood and prioritized
Partner on capital projects from concept through implementation, providing support/guidance throughout
Cadenced Based Operational Excellence:
Drive critical run-the-business alignment discussions and initiatives with cross-functional partners (LOG, SDM, WWRFO, etc)
Provide data-driven models and analysis to support key business decisions
Aggregate insights across the Americas region and influence business decisions to optimize sell-through
Identify and lead process/system improvement opportunities, including automation initiatives
Partner across all RFO fulfillment models on key initiatives and reporting requirements
Future State Vision & Strategy:
Contribute to the technology vision for RFO
Stay current on emerging technologies relevant to supply chain operations-particularly AI/ML, generative AI, demand forecasting, and supply chain visibility platforms
Identify opportunities where new technologies could transform RFO operations and articulate the business case to stakeholders
Drive alignment of systems, tools, processes, and org structures across regions (Worldwide teams, EMEIA, and APAC)
Coordinate across regions to surface reusable ideas, avoid duplicated effort, and ensure consistent strategic direction
Occasional travel required
Preferred Qualifications
Leadership & Communication:
Experience leading analytics teams through technology or methodology transitions
Strong executive presence; comfortable delivering insights and recommendations across all levels of management
Ability to articulate technical concepts in business-friendly language and vice versa
Track record of influencing decisions through data-driven models in ambiguous or fast-paced environments
Experience driving large-scale programs with measurable outcomes
Demonstrated ability to coordinate across regions or business units to share best practices and reduce duplicated effort
Natural curiosity about emerging technologies and how they could transform business operations
Technical & Analytical:
Familiarity with AI/ML concepts, generative AI applications, and their potential use cases in supply chain/operations
Experience with demand forecasting methodologies or supply chain visibility platforms
Proficiency with relational databases (e.g., Snowflake, MySQL) and visualization tools (Tableau, Thought Spot)
Six Sigma, BPI, or similar process improvement certification
MBA or advanced degree preferred
Minimum Qualifications
Bachelors degree with minimum 5-7 years of relevant Operations experience
Minimum 2 years management experience
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 .
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Apple 소개

Apple
PublicApple Inc. is an American multinational technology company headquartered in Cupertino, California, in Silicon Valley, best known for its consumer electronics, software and online services.
10,001+
직원 수
Cupertino
본사 위치
$3.5T
기업 가치
리뷰
3.9
10개 리뷰
워라밸
2.5
보상
4.2
문화
3.8
커리어
3.5
경영진
3.2
72%
친구에게 추천
장점
Great benefits and compensation
Talented colleagues and supportive teams
Learning opportunities and mentorship
단점
Work-life balance challenges
High stress and pressure
Fast-paced environment
연봉 정보
11,365개 데이터
Junior/L3
L2
L3
L4
L5
L6
M3
M4
M5
M6
Mid/L4
Senior/L5
Junior/L3 · Specialist
4,913개 리포트
$61,616
총 연봉
기본급
$61,616
주식
-
보너스
-
$41,521
$91,436
면접 경험
3개 면접
난이도
3.3
/ 5
소요 기간
28-42주
합격률
33%
경험
긍정 33%
보통 0%
부정 67%
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
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