Job description

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. 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 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

Requirements

Must-haves

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
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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aisqlpython

Platform: apple
Effort: medium