Sr Analytics Engineer, Retail Data Products

What you'll do

• Enhance dashboards and conversational BI tools for non-technical retail users.
• Deliver dashboards and semantic layers supporting customer experience, site selection, staffing, scheduling, and operational efficiency.
• Partner with product management, data science, data engineering, and infrastructure teams to integrate tools into user workflows.

What they ask for

• 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.
• Bachelor’s degree in a relevant field (Engineering, Data Science, Business) or equivalent experience; ability to deliver projects with minimal guidance and collaborate across data teams.

Nice to have

• Production pipeline experience with Snowflake SQL or PySpark and tools such as Airflow and dbt; 3+ years managing a semantic layer.
• 3+ years developing reusable visualization assets or working with retail data; a relevant master’s degree is also preferred.

Pay

$120,900 and $249,000 (base salary)

Tools

SQL, PySpark, Python, Tableau, PowerBI, Looker, Snowflake, Airflow

AI focus

Extend conversational BI and AI-driven conversational data tools to support decision-making for retail employees and operations.