Senior Data Analyst - Storage Technologies

This role is based in Cupertino, California.

Compensation:

$147,400 - $272,100/year

Responsibilities:

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

Minimum Qualifications:

• 4+ years of experience in data analytics.
• Professional programming experience with Python.
• Experience 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 relevant fields.
• Familiarity with distributed computation, storage, and workflow management (e.g., Splunk, Spark, Kubernetes, Kafka, Hadoop, MapReduce, Airflow).
• Knowledge of storage concepts, SSDs, and I/O paradigms.
• Highly organized, creative, motivated, and results-driven.