Description

Description

You'll lead business analytics projects through all phases - defining investigations, exploring data, conducting analysis, and presenting results to business customers. Projects will span workforce planning, operational analytics, and strategic initiatives across Hardware Engineering. This role requires collaboration within a multi-disciplined, geographically distributed data science team, working closely with data engineering to build on our existing infrastructure and shape future analytics capabilities.

Responsibilities

• Build repeatable analytical frameworks and dashboards that become the standard for how Hardware Engineering evaluates organizational health and plans for growth
• Inform strategic decisions across the HWE organization, from workforce planning to operational efficiency, through presentations, visual dashboards, and reports
• Build forecasting and optimization models for engineering resource needs, translating complex technical constraints into strategic recommendations for senior stakeholders
• Define analytics requirements in partnership with data engineering, owning the translation layer between infrastructure capabilities and business needs

Minimum Qualifications

• Minimum BS/BA in Computer Science, Software Engineering, Data Science, or equivalent degree
• 5+ years defining and leading business analytics initiatives, including surfacing insights, explaining outliers, building forecasting algorithms, and effectively communicating findings to stakeholders at all levels, including senior leadership
• Demonstrable mastery of Python for data analysis, including proficiency in pandas, NumPy, scikit-learn, and data visualization libraries for stakeholder reporting
• Self-directed problem-solver comfortable working through ambiguity, managing multiple priorities, and driving projects from definition through delivery

Preferred Qualifications

• MS/MA in Computer Science, Software Engineering, Data Science, or equivalent degree
• Experience collaborating with data engineering teams on pipeline design and data quality improvements
• Familiarity with cloud data platforms (AWS, Snowflake)

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 .