Data Analyst - Storage Technologies

Data Analyst - Storage Technologies

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.

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.

Minimum 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

• 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.

• 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

• Comprehensive medical and dental coverage
• retirement benefits
• a range of discounted products and free services
• reimbursement for certain educational expenses — including tuition

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.