Job Overview:
The Strategic Sourcing Analytics Manager at AppleCare will lead cost validation and analytics for contract manufacturing across all major Apple product lines, including iPhone, iPad, Mac, Watch, Audio, and Beats. This role involves managing large data sets, building scalable dashboards with Tableau and Snowflake, and collaborating cross-functionally to drive cost transparency and efficiency. The ideal candidate will translate complex data into actionable insights, develop automated tools for service supply chain initiatives, and present data-driven recommendations to senior executives. A bachelor’s degree in Supply Chain, Finance, or Data Analytics is required, with an MBA/MS preferred, along with 7+ years of experience in cost analytics, sourcing, or financial modeling. Proficiency in SQL, Python, and familiarity with SaaS or BI platforms are essential, while a background in supply chain management or service operations is a plus.
>> View full job details on Apple’s official website.
Resume and Interview Tips:
When tailoring your resume for the Strategic Sourcing Analytics Manager role at Apple, focus on highlighting your expertise in cost analytics and data modeling, particularly with tools like Tableau, Snowflake, SQL, and Python. Emphasize any experience with costed BOM or activity-based costing, as these are key differentiators for this position. Showcase your ability to manage large data sets and deliver actionable insights, as well as your cross-functional collaboration skills. Quantify your achievements where possible, such as cost savings or efficiency improvements you’ve driven in previous roles. If you have a background in supply chain management or service operations, make sure to detail this prominently, as it’s a preferred qualification. Your resume should reflect your ability to thrive in a fast-paced, ambiguous environment and your passion for continuous improvement.
During the interview for the Strategic Sourcing Analytics Manager position, expect to discuss your experience with cost analytics, data modeling, and supply chain management in depth. Be prepared to demonstrate your proficiency with Tableau, Snowflake, SQL, and Python, possibly through technical questions or case studies. The interviewer will likely assess your ability to translate complex data into clear, actionable insights, so practice explaining your thought process and methodologies. Highlight your cross-functional collaboration skills and provide examples of how you’ve worked with teams like finance, material, and business operations. Be ready to discuss how you’ve handled ambiguity and fast-paced environments, as well as your approach to continuous improvement. Finally, prepare to present a data-driven recommendation confidently, as this is a key part of the role. Dress professionally and be mindful of Apple’s culture of innovation and excellence.