Data Analyst - Storage Technologies

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!

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.

Key Responsibilities

• Performing exploratory data analysis to assess the feasibility of investigations.
• Using Jupyter and Tableau to explore and visualize data, and publishing findings to client teams.
• Building data pipelines to extract data from HDFS, transform it in Spark, and deliver it to Postgres and Tableau.
• Delivering analyses through self-service dashboards as well as in-person presentations with other teams and engineering leaders.

Key Qualifications

• BS in Computer Engineering, Computer Science, Physics, Mathematics, or equivalent experience/skills
• 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
• Professional programming experience with Python
• Experience working with relational databases and SQL
• Excellent written, verbal, and data communication 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

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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.