Sr Analytics Engineer, Retail Data Products

Apple Inc.; Austin, Northern (TX, KY); On-site; USD 140,000 - 210,000; Full time

Job summary

Apple Inc. in Austin, Texas is seeking an Analytics Engineer for Retail Store Analytics to build scalable dashboards and data products that empower store teams.

You will partner with Product Management, Data Science, Engineering, and Operations to deliver centralized dashboards and AI-driven tools—driving decision support across the business. You will own the reporting roadmap, advance BI technology, and translate complex requirements into usable data products used by hundreds of users.

Qualifications

• 6+ years of analytics pipelines in production environments.
• 6+ years of SQL or PySpark and Python coding.
• 6+ years building dashboards with Tableau, PowerBI or Looker for hundreds of users.
• Ability to initiate and complete projects with minimal guidance.
• Cross-functional collaboration with data teams to translate requirements into data products.
• Bachelor’s degree in Engineering, Data Science, Business or related field.

Responsibilities

• Enhance dashboarding and conversational BI tools for non-technical users across Retail.
• Deliver high-impact dashboards and semantic layer improvements for customer experience, staffing and operations.
• Partner with product management, data science, data engineering and operations to deliver integrated tools.

Skills

Analytics pipelines

SQL

PySpark

Python

Dashboards

Tableau

PowerBI

Looker

Cross-functional collaboration

Bachelor's degree

Education

Bachelor's degree

Master's degree

Tools

Snowflake SQL

Airflow

dbt

Cube

Job description

Austin, Texas, United States Operations and Supply Chain

Imagine what you could do here! The people here at Apple don’t just create products — they build the kind of wonder that’s revolutionized entire industries. It’s 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 work.We’re 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 we’re 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.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.

Description

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

Minimum 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
• 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 working with retail data
• Master’s degree in a relevant field (Engineering, Data Science, Business) or equivalent experience

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.