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Sr Analytics Engineer, Retail Data Products

Apple· Operations and Supply Chain
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Hybrid (Cupertino, California; Austin, Texas), Cupertino, California$120.9k - $249kFull-timePosted 3w ago

About the role

Analytics Engineer focused on Retail Store Analytics to deliver scalable dashboards and AI-driven data tools for Apple Retail Operations, collaborating with Product Management, Data Science, Engineering, and Operations to drive data-driven decision-making across global retail activities.

Responsibilities

  • Enhance and extend dashboarding and conversational BI tech-stack that enables data-based decision-making for non-technical users across the retail stores organization
  • Deliver high-impact dashboards & supporting semantic layer which create multi-year improvements to customer experience programs, site selection, staffing & scheduling, and operational efficiency
  • Partner with product management, data science, data engineering, and data infrastructure teams to deliver tools which integrate seamlessly into user workflows
  • 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

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
  • 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

Skills

Required:SQLPySparkPythonTableau / PowerBI / Looker

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 as well as relocation eligibility
  • stock programs including discretionary RSUs and Employee Stock Purchase Plan
Last updated Oct 2, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

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