Sr Analytics Engineer, Retail Data Products

Imagine what you could do here! The people here at Apple dont just create products they build the kind of wonder thats revolutionized entire industries. Its 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. At Apple inclusion is a shared responsibility and we work together to foster a culture where everyone belongs and is inspired to do their best a diverse collective of thinkers and doers continuously reimagining our products and practices to help people do what they love in new ways. That innovation is inspired by a shared commitment to great work and to each other. Because learning from the people here means were learning from the best. Retail Operations creates the tools and programs that empower our teams to provide a one of a kind only at Apple experience. We do this by obsessing over the employee and customer experience and driving a global strategy that sets the bar. nnRetail 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 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 toolsthat 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 organizationnDeliver high-impact dashboards u0026 supporting semantic layer which create multi-year improvements to customer experience programs site selection staffing u0026 scheduling and operational efficiencynPartner 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 reportingn6 years experience coding in SQL or PySpark and Pythonn6 years experience building and maintaining dashboards in Tableau PowerBI or Looker with hundreds of usersnAbility to initiate refine and complete projects with minimal guidancenAbility to think critically and and collaborate cross-functionally with other data engineering data science and analytics stakeholders distilling abstract requirements into clear data productsnBachelors 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 dbtn3 years experience managing semantic layer in tools like Cube dbt Snowflake or LookMLn3 years experience developing reusable data visualization assets like Tableau viz extensionsn3 years experience working with retail datanMasters degree in a relevant field (Engineering Data Science Business) or equivalent experience