Americas Reseller Operations Business Analyst
Summary
Imagine what you could do here! The people here at Apple don’t just build products they build
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!
Description
The Americas Reseller Operations team at Apple is looking for a dynamic and motivated
Business Analyst. This is an opportunity for an ambitious individual to apply a sharp eye for the
business and strong analytical abilities to the decisions that keep Apple products in the right
place for our channel partners across the Americas. In this role, you will drive business analytics
and insights, and identify and lead process and system improvement opportunities inside
Reseller Operations, including applying AI and automation to the team's recurring work. You will
help build the tools, standards, and measurement that let Reseller Operations work smarter as
the business grows.
Responsibilities
- Become an authority on supply chain KPIs and complexities to optimize Reseller Operations.
- Drive and provide key inputs to critical run-the-business alignment discussions and planning (e.g., weekly product reviews and quarter-end management syncs) with cross-functional partners such as SDM, WWRO, CSAM, and Logistics teams.
- Provide data-driven models and analysis, using tools such as SQL, Python, and ThoughtSpot, to drive the business and inform key decisions.
- Aggregate key channel insights across the Americas region and influence business decisions to optimize sell-through.
- Play a critical role in the standardization of account deliverables, building reusable tools and templates that scale across partners and teams.
- Identify process improvement opportunities supported by data analysis, and lead cross-functional teams to take projects from concept to implementation.
- Identify where AI and automation can improve the team's recurring work, and prioritize opportunities by business impact, feasibility, and risk.
- Design, build, and roll out AI-enabled workflows and agents on Apple-approved tools. Co-design with the people who use them and support adoption across teams.
- Capture and maintain the business context that makes these tools reliable, including metric definitions, operating rules, and partner-specific nuances.
- Partner with Decision Support (DS), BPR, and IS&T on platform, data, and system requirements, and move proven solutions onto supported infrastructure.
- Measure the impact of process, automation, and AI improvements in dollars saved, hours saved, and adoption, and report value and run cost to leadership.
Minimum Qualifications
- Bachelors Degree in Supply Chain, Business, Finance, Economics, Engineering, Information Systems, Data Analytics, or a related field.
- 7+ years of relevant operations, supply chain, or business analytics experience.
- Strong command of supply chain fundamentals: demand forecasting, replenishment, inventory health, and sell-through.
- Working understanding of how generative AI tools work and where they fall short, with hands-on experience applying AI or automation to business problems.
- Proficiency with data and analytics tools such as SQL, Python, or ThoughtSpot.
Preferred Qualifications
- Proven data-driven decision-making skills.
- MBA preferred.
- Experience in reseller, telco/carrier, retail, or distribution environments, including Supply/Demand Planning and Logistics.
- Experience building AI agents, workflow automation, or scripted analytics that other people use.
- Experience driving adoption of new tools or ways of working across teams that don't report to you.
- Shown process improvement skills, including Six Sigma or BPI experience, with natural curiosity and a desire to understand how things work.
- Experience in driving large-scale programs and putting measurement systems in place.
- Ability to think in an unexpected way and influence peers with data-driven models; ability to gain acceptance of others in sensitive situations.
- Sound judgment about when a simpler solution beats AI, and the confidence to say so.
- Aptitude for synthesizing quantitative and qualitative data.
- Excellent presentation, listening, verbal, and written communication skills.
- Detail-oriented and self-motivated; able to function effectively independently or in a team.
- Ability to make key decisions and deliver results under tight timelines, deal with ambiguity, and maintain poise in a fast-paced, rapidly changing environment.
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