Senior Analytics Engineer, Retail Data & Dashboards

DataJobs; Austin (TX); On-site; USD 121,000 - 249,000; Full time

Benefits offered by this job

Medical and dental

Retirement benefits

Discounted products

Education reimbursement

Stock programs

Relocation assistance

Job summary

Apple in Austin, TX seeks a Senior Analytics Engineer to build scalable dashboarding and AI-driven data tools for Retail Data Products. You will enable non-technical teams to make data-informed decisions, improving customer experience and operational efficiency.

Expected to have 6+ years in analytics pipelines, expertise in SQL/PySpark and Python, and experience creating dashboards for hundreds of users using Tableau, PowerBI, or Looker. Collaborative, results-driven, with a relevant degree.

Qualifications

• 6+ years experience building analytics pipelines in production environments.
• 6+ years coding in SQL or PySpark and Python.
• 6+ years building dashboards with Tableau, PowerBI, or Looker for hundreds of users.
• Ability to initiate and complete projects with minimal guidance.
• Collaborate across product, data science, data engineering, and analytics teams.
• Bachelor’s degree in Engineering, Data Science, Business, or equivalente.

Responsibilities

• Build and refine scalable dashboarding and AI-driven data tools.
• Develop high-impact dashboards and the semantic layer for non-technical users.
• Partner with product, data science, data engineering, and data infra teams.

Skills

Analytics pipelines

SQL

PySpark

Python

Education

Bachelor's degree in Engineering, Data Science, or related field

Master’s degree (preferred)

Tools

Snowflake SQL

Airflow

dbt

Cube

LookML

Tableau

PowerBI

Looker

Job description

Apple in Austin, TX seeks a Senior Analytics Engineer to build scalable dashboarding and AI-driven data tools for Retail Data Products. You will enable non-technical teams to make data-informed decisions, improving customer experience and operational efficiency.

Expected to have 6+ years in analytics pipelines, expertise in SQL/PySpark and Python, and experience creating dashboards for hundreds of users using Tableau, PowerBI, or Looker. Collaborative, results-driven, with a relevant degree.