Americas Reseller Operations Business Analyst

Apple•Austin, TX

14h

About The Position

Apple’s Americas Reseller Operations team is seeking a Business Analyst to drive business analytics and insights and identify and lead process and system improvements. The role supports decisions that help position Apple products appropriately for channel partners across the Americas, and helps build tools, standards, and measurement systems that allow Reseller Operations to scale effectively. It also applies AI and automation to recurring work where appropriate. The Business Analyst becomes an authority on supply chain KPIs and complexities, provides analysis and inputs for business alignment and planning discussions, and works with cross-functional partners to optimize operations and sell-through. The role develops data-driven models, standardizes account deliverables, and leads improvement initiatives from concept through implementation. It also identifies, designs, and rolls out AI-enabled workflows using Apple-approved tools, supports adoption, documents business context, partners with technical and decision-support teams to transition proven solutions to supported infrastructure, and measures and reports their impact and run costs.

Requirements

Bachelor’s degree in Supply Chain, Business, Finance, Economics, Engineering, Information Systems, Data Analytics, or a related field.
At least 7 years of relevant operations, supply chain, or business analytics experience.
Strong command of supply chain fundamentals, including 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.
Proven data-driven decision-making skills.
Experience in reseller, telco/carrier, retail, or distribution environments, including Supply/Demand Planning and Logistics.
Experience driving adoption of new tools or ways of working across teams that do not report to you.
Process improvement skills, including Six Sigma or BPI experience, with curiosity and a desire to understand how things work.
Ability to think in an unexpected way and influence peers with data-driven models, and gain acceptance in sensitive situations.
Sound judgment about when a simpler solution is preferable to AI, and confidence to say so.
Aptitude for synthesizing quantitative and qualitative data.
Excellent presentation, listening, verbal, and written communication skills.
Detail-oriented and self-motivated, with the ability to work 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.

Nice To Haves

MBA preferred.
Experience building AI agents, workflow automation, or scripted analytics that other people use.
Experience driving large-scale programs and putting measurement systems in place.

Responsibilities

Become an authority on supply chain KPIs and complexities to optimize Reseller Operations.
Drive and provide key inputs to run-the-business alignment discussions and planning, including weekly product reviews and quarter-end management syncs, with cross-functional partners such as SDM, WWRO, CSAM, and Logistics teams.
Develop data-driven models and analysis using tools such as SQL, Python, and ThoughtSpot to inform business decisions.
Aggregate channel insights across the Americas region and influence decisions to optimize sell-through.
Standardize account deliverables by building reusable tools and templates that scale across partners and teams.
Identify data-supported process improvement opportunities and lead cross-functional projects from concept to implementation.
Identify opportunities to improve recurring work with AI and automation, prioritizing them by business impact, feasibility, and risk.
Design, build, and roll out AI-enabled workflows and agents on Apple-approved tools; co-design them with users and support adoption across teams.
Capture and maintain business context for reliable tools, 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.