Overview
On Site
Full Time
Skills
SDS
Mathematical Modeling
Data Analysis
Fraud
Collaboration
Legal
Data Warehouse
Leadership
Mathematics
Statistics
Information Management
Computer Science
Big Data
SQL
Apache Hive
Apache Spark
Python
Java
C++
Visualization
matplotlib
Tableau
Supply Chain Management
Manufacturing Engineering
Finance
Analytical Skill
Business Intelligence
Communication
NATURAL
Partnership
Analytics
Decision-making
Job Details
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
Preferred Qualifications
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 .
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
Preferred Qualifications
- 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
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 .
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.