Job Description

Data Analyst

• • 2 4 years of experience in data analytics, business intelligence, or a related field; retail or e-commerce experience a plus.
  • Advanced SQL skills including stored procedures, views, and query optimization; hands-on experience with Snowflake and a modern BI platform (Sigma preferred).
  • Proven ability to design and implement data models and semantic layers that support reliable, scalable reporting.
  • Comfortable owning projects end to end and working directly with business stakeholders to gather requirements and manage delivery.
  • Experience building polished, user-facing dashboards and reports designed for self-serve use by non-technical business stakeholders.
  • Able to manage personal priorities and delivery timelines in a fast-paced environment.
  • Clear communication and documentation skills for both technical and non-technical audiences.
  • Working knowledge of retail performance drivers across merchandising, marketing, inventory, and/or operations.
  • Organized, proactive, and able to balance competing priorities while maintaining quality.

• • End to end exposure to analytics workflow from post-ingestion data modeling through end-user consumption
  • Analytics engineering background with experience around SQL, stored procedures, data modeling, and BI delivery (NOT A DATA ENGINEER)
  • SQL - must have
    • Writing SQL queries to pull data from snowflake
    • Familiarity with window functions, CTEs, joins, aggregators
    • Familiarity with AI to help them, need foundational knowledge of SQL without it. More fluent in using AI to help their workflows, speed things up. Claude familiarity
  • Snowflake experience
    • Build and maintain data assets within Snowflake after data ingestion is complete.
  • BI tools - Sigma, Tableau, or Power BI
    • Writing store procedures and tasks. Using pipelines in their BI Layer
    • Visualization is not required
  • QA experience
    • Manual QA, ideally writing their own tests and have some documentation in place to support
  • Experience working with AI tools and incorporating them into daily workflow
  • Good communication skills

Ability to speak with stakeholders, gather requirements and turn into actionable tasks

• • Team is not primarily performing analysis. They are providing tools and data products that enable business users to analyze their own data.
  • Team delivers artifacts to business units to support future projects.

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