Full job description

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

Preferred Qualifications

Big data systems like Hive, Spark, Snowflake experience

Programming skills in Python, Java, C++, or similar language

Supply chain / operations / manufacturing / engineering / quantitative / financial background

5+ years experience in analytic role providing business intelligence to stakeholders

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

Minimum Qualifications

Bachelors or Masters degree in a quantitative / technical field (math, statistics, engineering, information management, computer science, or similar)

3+ years extensive, expert level experience with SQL

Experience with visualization techniques and software such at matplotlib, Tableau, etc.

Experience applying analytical techniques that provide innovative solutions to real business problems

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