Analytics Engineer: Retail Store Analytics

Apple creates revolutionary products and technology that have transformed entire industries while leading environmental efforts.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
4+ years of experience
Retail · Enterprise SaaS

Description For Analytics Engineer: Retail Store Analytics

Imagine what you could do here! The people here at Apple don't just create products — they build the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts.

As an Analytics Engineer on the Retail Store Analytics team, you will help create and maintain the analytic data pipelines that empower the analytics and reporting key to decision making across Retail. You will leverage large and complex data sources from across Apple to drive business decisions, generate ideas, and inspire collaborators.

Key Responsibilities:

  • Design, create, refine, and maintain data pipelines and ingestion processes used for modeling, analysis, and reporting
  • Collaborate with other data scientists, analysts, and engineers to build full-service data solutions
  • Work with cross-functional business partners and vendors to acquire and transform raw data sources
  • Develop deep understanding of retail customer base and purchase choices
  • Contribute to tools development to improve business efficiency and productivity

The role combines technical expertise with business acumen to support analytics and reporting across various aspects including product launches, customer experience, and operational performance. You'll be part of Retail Operations, creating tools and programs that empower teams to provide a unique Apple experience.

This position offers the opportunity to work with cutting-edge technology while making meaningful impact on Apple's retail operations through data-driven insights and solutions.

Last updated 4 hours ago

Responsibilities For Analytics Engineer: Retail Store Analytics

  • Design, create, refine, and maintain data pipelines and ingestion processes
  • Collaborate with data scientists, analysts, and engineers on data solutions
  • Work with business partners and vendors to acquire and transform raw data
  • Develop understanding of retail customer base and purchase choices
  • Contribute to tools improving business efficiency and productivity

Requirements For Analytics Engineer: Retail Store Analytics

Python
  • 4+ years of related work experience in decision/data science, consulting, or other related business facing role
  • Bachelor's Degree
  • Fluency in SQL and Python, including schema design and data modeling
  • Experience building robust and scalable data processes and pipelines for modeling, analysis, and reporting

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