About the role
Summary
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something. As a Data Analyst on Apple’s Storage Analytics team, you’ll play a key role in developing the fastest, most efficient SSDs for products including iPhone, iPad, Apple Watch, and Apple Silicon Macs. We’re seeking an exceptional analyst with expertise in distributed data processing and a proven ability to transform data into actionable insights. If you’re passionate about advancing how data is used to make Apple’s products even better, we’d love to hear from you!
Description
On the Storage Data Analytics team, we are responsible for ad hoc data analysis, developing and maintaining distributed data pipelines, and creating and supporting analysis tools. Our work focuses on Apple’s storage solutions. The team is small and nimble, able to quickly explore ideas and present them to both storage teams and leadership.
Minimum Qualifications
4+ years of experience in data analytics Professional programming experience with Python Experience working with relational databases and SQL Ability to lead data investigations and analysis projects with ambiguous requirements Advanced knowledge of statistics and modeling Experience visualizing and presenting analyses using tools such as Jupyter and Tableau Excellent written, verbal, and data communication skills BS in Computer Engineering, Computer Science, Physics, Mathematics, or equivalent experience/skills
Preferred Qualifications
Master’s or PhD in Computer Engineering, Computer Science, Physics, Mathematics, or equivalent experience/skills Familiarity with distributed computation, storage, and workflow management (e.g., Splunk, Spark, Kubernetes, Kafka, Hadoop, MapReduce, Airflow, etc.) Knowledge of storage concepts, SSDs, and I/O paradigms Highly organized, creative, motivated, and results-driven
Skills & Tags
Aplyr's read
Apple is a tech giant known for its sleek design and innovation, attracting top talent in engineering, design, and business operations.
What's promising
- •Apple consistently leads in tech innovation with a strong focus on design and user experience.
- •The company's global brand recognition offers employees a prestigious platform for career growth.
- •Apple's robust ecosystem integrates hardware, software, and services, creating diverse job opportunities.
What to watch
- •High-pressure work environment with demanding deadlines can impact work-life balance.
- •Apple's secretive culture may limit transparency and cross-departmental communication.
- •Dependence on hardware sales makes the company vulnerable to market saturation risks.
Why Apple
- •Apple's design philosophy emphasizes simplicity and elegance, setting it apart in the tech industry.
- •The company has a unique retail presence with its own stores enhancing customer experience.
- •Apple's closed ecosystem creates a seamless integration across its products, unmatched by competitors.
Aplyr’s read is generated by AI from public sources. Was it useful?
About Apple
Apple Inc. is a leading technology company known for its innovative consumer electronics, software, and services. The company designs and manufactures products such as the iPhone, iPad, Mac computers, and wearables, significantly influencing the tech industry and consumer behavior worldwide.
Similar roles
Consulting Pre-Sales Systems Engineer, Data Management
Pure Storage
Business Intelligence Engineer
Pure Storage
Senior Manager, BI Solution Development
Pure Storage
Senior Analyst - Data & Analytics
Pure Storage
Senior Product Manager, Data Management
Pure Storage
Sr. Manager, Data & Analytics, MDM & Governance
Pure Storage