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Job Description
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)
- 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
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
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.
Apple accepts applications to this posting on an ongoing basis.
Key skills/competency
- Data Analysis
- SQL
- Data Visualization
- Statistical Methods
- Business Intelligence
- Problem Solving
- Communication
- Python
- Tableau
- Fraud Detection
How to Get Hired at Apple
- Tailor your resume: Highlight your quantitative skills, SQL expertise, and experience with data visualization tools like Tableau. Quantify your achievements in previous roles, especially in fraud detection or business intelligence.
- Showcase analytical prowess: Emphasize your ability to apply statistical methods and develop innovative solutions to complex business problems. Provide examples of how you've used data to drive measurable results.
- Demonstrate communication skills: Prepare to discuss how you can tell meaningful stories with data and present complex analyses clearly to both technical and non-technical audiences.
- Research Apple's values: Understand Apple's commitment to innovation, problem-solving, and continuous improvement. Align your application and interview responses with these core principles.
- Prepare for technical questions: Be ready to discuss your experience with SQL, statistical analysis, and data visualization software. If applicable, also be prepared to talk about big data systems and programming languages like Python.
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