As an Analytics Engineer on Retail Store Analytics, you will create tools that enable data-driven decisions across Apple Retail Operations. Partnering with Product Management, Data Science, Engineering, and Operations teams, you will build and refine scalable dashboards and data products that delight users — including a centralized hub of canonical dashboards and AI-driven conversational data tools—that deliver dynamic and intuitive decision support.

Minimum Qualifications

6+ years experience building analytics pipelines in a production development environment for modeling, analysis, and reporting
6+ years experience coding in SQL or PySpark and Python
6+ years experience building and maintaining dashboards in Tableau, PowerBI, or Looker with hundreds of users
Ability to initiate, refine, and complete projects with minimal guidance
Ability to think critically and and collaborate cross-functionally with other data engineering, data science and analytics stakeholders distilling abstract requirements into clear data products
Bachelor’s degree in a relevant field (Engineering, Data Science, Business) or equivalent experience

Preferred Qualifications

Experience building analytics pipelines in production development environment, ideally with Snowflake SQL or PySpark, and pipeline tools like Airflow and dbt
3+ years experience managing semantic layer in tools like Cube, dbt, Snowflake, or LookML
3+ years experience developing reusable data visualization assets like Tableau viz extensions
3+ years experience working with retail data
Master’s degree in a relevant field (Engineering, Data Science, Business) or equivalent experience