Apple - Seattle, WA

posted 14 days ago

Full-time - Mid Level
Seattle, WA
Computer and Electronic Product Manufacturing

About the position

As a Data Analytics Engineer on the App Store Data team, you will play a crucial role in leveraging data to drive business decisions and enhance the App Store experience for users and developers. Your responsibilities will include analyzing large datasets, identifying trends, and providing actionable insights to support strategic initiatives. This position requires collaboration with various internal stakeholders and external partners to foster data-driven innovation.

Responsibilities

  • Analyze data to identify trends and patterns that inform business decisions.
  • Communicate insights clearly to different teams and stakeholders.
  • Collect, process, and analyze large datasets using SQL, Python, or Scala.
  • Contribute to large-scale quantitative analysis projects, including data quality and data modeling.
  • Apply research and analytical skills to monitor suspicious user/device patterns and mitigate fraud.
  • Develop data visualizations and reporting using tools like Tableau and Superset.

Requirements

  • B.S. in a quantitative field (e.g., Statistics, Economics, Computer Science, Mathematics, Engineering).
  • At least 5+ years of experience as a Data Analytics Engineer.
  • Advanced programming skills in SQL, Python, and Scala.
  • Experience in the big data ecosystem (e.g., Hadoop, Spark, Iceberg, Trino, Airflow).
  • Proven expertise in data wrangling and developing data visualizations.
  • Strong understanding of data analytics and predictive modeling techniques.

Nice-to-haves

  • Ability to collect cross-functional requirements and translate them into practical data analysis solutions.
  • Experience in writing and maintaining high-quality code using standard methodologies.
  • Experience in Data Privacy, Compliance, and Trust/Safety domain.

Benefits

  • Comprehensive medical and dental coverage.
  • Retirement benefits.
  • Discounted products and free services.
  • Reimbursement for certain educational expenses, including tuition.
  • Discretionary bonuses or commission payments.
  • Relocation assistance.
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