Full-Time

Data Analytics Engineer

Apple Services Engineering

Confirmed live in the last 24 hours

Apple

Apple

10,001+ employees

Designs and sells consumer electronics and software

VR & AR
Consumer Software
Fintech
Consumer Goods

Compensation Overview

$135.4k - $250.6kAnnually

+ Bonus + Commission

Senior

Seattle, WA, USA

Eligible for discretionary bonuses or commission payments; relocation assistance available.

Category
Data Analysis
Data & Analytics
Required Skills
Python
Airflow
Apache Spark
SQL
Tableau
Scala
Hadoop
Data Analysis
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 with excellent analytical and problem-solving skills.
  • Advanced programming skills in data manipulation & processing (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 & reporting with toolings such as Tableau, Superset etc.
  • Strong understanding of data analytics, structured and unstructured data analysis, predictive modeling techniques to implement Fraud detection, identify patterns in data and data visualization as well as a good command of emerging methodologies like artificial intelligence.
  • Outstanding verbal and written communication skills, along with strong collaborative abilities.
  • Ability to collect cross-functional requirements and translate them into practical data analysis solution that drive key product decisions.
  • Experienced in writing and maintaining high-quality code using standard methodologies such as code reviews, unit testing, and continuous integration.
  • Experience of working in Data Privacy, Compliance and Trust/Safety domain is a plus.
Responsibilities
  • Analyze data, spot trends and patterns, and use your findings to give actionable recommendations that help our business grow.
  • Communicate your insights clearly to different teams and stakeholders.
  • Collect, process, and analyze large datasets using SQL, Python or Scala in big data ecosystem.
  • Contribute to large-scale quantitative analysis projects through all phases; this includes data quality, data modeling, algorithm/feature development, statistical analysis, and data visualization.
  • Apply research and analytical skills to monitor and analyze suspicious user/device patterns, anomalies and consolidate anti-fraud rules to mitigate usage based billing fraud.

Apple Inc. designs and sells a variety of technology products and services, including iPhones, iPads, Mac computers, Apple Watches, and Apple TVs. The company also offers services like the App Store, Apple Music, iCloud, and Apple Pay. Its products work together seamlessly, providing users with a cohesive experience across devices. Apple differentiates itself from competitors through its integrated approach, where hardware and software are developed in tandem, ensuring high quality and user satisfaction. The company's goal is to enhance customer loyalty and drive financial success through continuous innovation and a strong focus on user experience.

Company Stage

IPO

Total Funding

$619.1K

Headquarters

Cupertino, California

Founded

1976

Simplify Jobs

Simplify's Take

What believers are saying

  • The Proxima chip could enhance connectivity and user experience by 2025.
  • iPhone Mirroring strengthens Apple's ecosystem with seamless device interaction.
  • AirTag 2 improvements could boost sales in Apple's accessories segment.

What critics are saying

  • Amazon's 'Alexa Announcements' could challenge Apple's HomePod market share.
  • iPhone Mirroring may raise security concerns within the Apple ecosystem.
  • Proxima chip development may face delays, impacting product release timelines.

What makes Apple unique

  • Apple's integrated hardware and software create a seamless user experience across devices.
  • The Apple Card enhances customer loyalty with up to 3% Daily Cash back.
  • Apple's trade-in program supports sustainability and incentivizes device upgrades.

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