Data Analyst - Strategic Data Solutions

Apple's Strategic Data Solutions (SDS) team leads efforts to mitigate fraud, waste and abuse across Apple's various lines of business. The team has an immediate opening for a talented analyst who is interested in working closely with partner teams; understanding their processes and analytic needs; and developing technical solutions that can drive significant impact that benefits Apple.

Description

As a quantitative business analyst you will apply statistical methods, mathematical modeling, and data analytics to help solve complex business problems, detect fraud & abuse, optimize performance & processes, and support strategic decision-making. You will collaborate cross-functionally with stakeholders across finance, operations, engineering, legal, and more to deliver data-driven insights that drive measurable results. - Support discovery of business problems - Develop relationships with business partners and serve as technical / analytic point of contact - Perform data discovery and create proof of concepts - Perform ad-hoc and reoccurring statistical analyses - Work with data warehouse architects and software developers to generate and enhance business intelligence solutions for partner teams - Present results of analyses to business units and senior leadership

Minimum Qualifications

• Bachelors or Masters degree in a quantitative / technical field (math, statistics, engineering, information management, computer science, or similar)
• Experience with big data systems and tools like SQL, Hive, Spark
• Programming skills in Python, Java, C++, or similar language
• Experience with visualization techniques and software such at matplotlib, Tableau, etc.
• Experience applying analytical techniques that provide innovative solutions to real business problems

• Supply chain / operations / manufacturing / engineering / quantitative / financial background
• 5+ years experience in analytic role providing business intelligence to stakeholders
• Ability to tell meaningful stories with data
• Excellent verbal / written communication skills
• Natural curiosity and a desire for continuous self-improvement and development of new skills
• Ability to develop valuable partnerships through strong interpersonal skills
• Creatively navigate highly ambiguous requirements to deliver best-in-class analytics
• Proficiency working independently and proactively with stakeholders to drive progress and empower decision-making