Senior Quantitative Data Analyst

Santa Clara Valley (Cupertino), California, United States
Not Available


Weekly Hours: 40
Role Number:200100335
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. 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 an outstanding 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. The candidate must work well in collaborative environments with minimal formal structure and be comfortable in uncertain environments with competing priorities. The candidate must possess solid business acumen, a strong quantitative / technical background, natural curiosity, and the ability to effectively shift between communications styles based on the audience (technical peer review through leadership update).

Key Qualifications

  • Experience applying analytical techniques to provide solutions to real business problems
  • Creativity to go beyond current tools to deliver best solution to the problem
  • Experience with SQL, Hive, Spark and big data systems and tools
  • Programming skills in Python, Java, C++, or similar language
  • Ability to tell meaningful stories with data
  • Strong interpersonal skills with ability to develop strong partnerships at all levels
  • Strong verbal / written communication skills
  • (Desired) Supply chain / manufacturing / financial background
  • Inquisitiveness and a desire for continuous self-improvement and development of new skills
  • Experience providing technical and analytic mentoring / coaching to teammates
  • Comfort working independently and making key decisions on projects


• Support discovery of business problems • Develop relationships with business partners and serve as 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 business intelligence solutions for partner teams • Present results of analyses to business units and senior leadership

Education & Experience

• MS in technical field (math, statistics, engineering, computer science, analytics, or similar)

Additional Requirements