Americas Reseller Operations Business & New Product Introduction (NPI) Analyst

Apple•Austin, TX

17h

About The Position

Apple’s Americas Reseller Operations team is seeking a dynamic and motivated Business & NPI Analyst to support go-to-market planning and execution for product launches and to drive operational analytics and process improvement within Reseller Operations. The role offers the opportunity to contribute to infrastructure strategy and implementation, using business judgment and analytical skills to develop valuable insights and solutions. The analyst will partner with cross-functional stakeholders to architect and execute end-to-end supply chain solutions that meet launch objectives. The role also contributes to run-the-business alignment and planning, including weekly product reviews and quarter-end management syncs, and supports data-driven business decisions through modeling and analysis. The analyst will develop insights into channel partner behaviors, order profiles, assortment strategies, and distribution networks; communicate launch plans, operational complexities, and mitigation strategies to executives; and craft external communications for reseller partners. The position participates in cross-functional projects from concept through implementation, addresses business challenges and system issues, and identifies data-supported process improvements. Success requires strategic and operational thinking, strong communication and presentation skills, and the ability to deliver in a fast-paced, ambiguous environment under tight timelines.

Requirements

Bachelor’s degree in Supply Chain, Business, Finance, Economics, Marketing, Engineering, or a relevant field.
Minimum 5–7 years of relevant Operations experience.
Extensive experience with reporting, data mining, and ad hoc analytics tools, including working with large quantities of data from varied sources.
Advanced Excel skills, including macros.
Ability to synthesize quantitative and qualitative data.
Proven data-driven decision-making skills.
Ability to influence peers using data-driven models and gain acceptance in sensitive situations.
Detail-oriented and self-motivated, with the ability to work effectively independently or in a team.
Excellent presentation abilities.
Excellent listening, verbal, and written communication skills.
Ability to operate with poise and a positive attitude in a challenging, fast-paced, rapidly changing environment.
Ability to think strategically and execute operational strategies to achieve measurable improvements.
Ability to make decisions and deliver results under tight and stressful timelines, handle ambiguity, work in an unstructured environment, multitask, maintain end-to-end customer focus, and solve problems creatively.
Core functional skills in program management, operations, supply chain, logistics, sales support, and business process mapping.
Passion, motivation, urgency, and drive to achieve excellence.

Nice To Haves

MBA or advanced degree.
Process improvement experience, including Six Sigma or BPI.
Reseller or telecommunications experience.
Supply/demand planning and logistics experience.

Responsibilities

Support go-to-market planning and execution for product launches.
Partner with cross-functional stakeholders to architect and execute end-to-end supply chain solutions that meet launch objectives.
Drive and provide key inputs to run-the-business alignment discussions and planning, including weekly product reviews and quarter-end management syncs.
Provide data-driven models and analyze data to support key business decisions.
Develop insights into channel partner behaviors, order profiles, assortment strategies, and distribution networks to anticipate friction points and drive optimal strategies.
Translate launch plans, operational complexities, and mitigation strategies into concise executive summaries.
Craft and influence external communications to reseller partners.
Participate in cross-functional projects from concept through implementation, addressing business challenges and mitigating system issues.
Identify process improvement opportunities supported by data analysis.
Drive large-scale programs and put measurement systems in place.