Sr Analytics Engineer, Retail Data Products
Python
Analytics
Apache Airflow
Artificial Intelligence
Automation Developer
Big Data
Bigdata
Business Analytics
Business Intelligence
Business Intelligence Tools
Cloud
Cloud Data Warehouse
Cloud Data Warehouse
Cloud Platform
Cloud Platforms
Data
Data Analysis
Data Analytics
Data Analytics Tools
Data Architecture
Data Build Tool
Data Engineer
Data Engineering
Data Integration
Data Integration Tools
Data Management
Data Modeling
Data Operations
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Data Transforms
Data Visualization
Data Warehouse
Data Warehousing
Database
Databases
Dataviz
Design
Digital Marketing
ETL
Hr Technology
Informatica
Looker
Microsoft
Microsoft Office
Microsoft Power Platform
Power BI
Power Platform
Product Management
Pyspark
Reporting and Analytics
Retail Analytics
Snowflake
Software Development
Spark
SQL
Visual Design
Job Description
Join Apple’s Retail Store Analytics team in Austin, TX (onsite) to build scalable dashboards and analytics products that support data-driven decisions across Apple Retail Operations. This role focuses on integrating data and AI, including AI-driven conversational data tools, to help delight customers and empower store employees. You will also help set the future direction of Retail Operations reporting by turning complex requirements into clear, usable data products.
What you’ll do
- Create tools that enable data-driven decisions across Apple Retail Operations.
- Collaborate with Product Management, Data Science, Engineering, and Operations to build and refine scalable dashboards and data products that delight users.
- Develop a centralized hub of canonical dashboards, alongside AI-driven conversational data tools that deliver dynamic, intuitive decision support.
- Integrate data and AI to contribute to future direction for Retail Operations and improve outcomes for customers and store employees.
- Help deliver an extensive reporting roadmap as part of a team.
What you bring
- 6+ years building analytics pipelines in a production development environment for modeling, analysis, and reporting.
- 6+ years coding in SQL or PySpark and Python.
- 6+ years building and maintaining dashboards in Tableau, PowerBI, or Looker with hundreds of users.
- Ability to initiate, refine, and complete projects with minimal guidance.
- Strong critical thinking and cross-functional collaboration to distill abstract requirements into clear data products with data engineering, data science, and analytics stakeholders.
- Bachelor’s degree in a relevant field (Engineering, Data Science, Business) or equivalent experience.
Technologies you’ll work with
SQL, PySpark, Python, Tableau, PowerBI, Looker, Snowflake SQL, Airflow, dbt, Cube, LookML, and Tableau viz extensions.
Preferred qualifications
- Experience building analytics pipelines in production, ideally with Snowflake SQL or PySpark, and pipeline tools like Airflow and dbt.
- 3+ years managing a semantic layer in tools such as Cube, dbt, Snowflake, or LookML.
- 3+ years developing reusable data visualization assets like Tableau viz extensions.
- 3+ years working with retail data.
- Master’s degree in a relevant field (Engineering, Data Science, Business) or equivalent experience.
Similar Jobs