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Sr Analytics Engineer, Retail Data Products

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Salary

Base pay range: $120,900 - $249,000

Location

Austin, TX; Cupertino, CA

Posted

Today

Retail Store Analytics team is looking for an Analytics Engineer with a dashboarding background, appetite to innovate using AI, and passion to use data at scale to drive global retail excellence. In this role, you will play a critical role in delivering the future direction of Apple Retail Operations by integrating data and AI to delight customers and empower store employees. A successful candidate will possess strong technical business intelligence skills, extensive experience delighting users through easy-to-use dashboards, an understanding of retail store dynamics, and the ability to effectively manage delivery of an extensive reporting roadmap as part of a team.

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.

  • 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

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