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# Sr Analytics Engineer, Retail Data Products

- **Company:** Apple Inc.
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Salary:** $120,900.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Data Analysis, Information Engineering, Data Infrastructure, Data Integration, Data Visualization, Decision Support Systems, Integrated Development Environments, Python (Programming Language), Power BI, SQL Databases, Tableau (Software), Delivery Pipeline, Snowflake, Pyspark, Data Analytics, Looker Analytics
- **Published:** September 28, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/28060486/Sr-Analytics-Engineer-Retail-Data-Products-Texas-Austin-7413

## About the Role

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

Preferred Qualifications

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

## Description

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.

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


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