Business Analyst, AI & Automation

Key Responsibilities

• Help build, test, and improve analytical tools used to make real business decisions across Planning, Merchandising, Buying, E-commerce, Operations, and Growth.
• Use SQL, BigQuery, Hex, and AI tools to analyze data, turn it into actionable insights, prototype solutions, and automate manual workflows.
• Work cross-functionally to understand how decisions are made today and where better tooling can create leverage.
• Translate business questions into clear analytical requirements and partner with Data & Tech when deeper architecture or production support is required.
• Build prototypes and internal tools, validate outputs against actual business results, and iterate based on user feedback so the output stays actionable.
• Pressure-test AI-generated work rather than treating AI output as inherently correct.
• Document assumptions, logic, and business rules so that tools can be understood, trusted, and maintained by others.
• Help move successful prototypes from an idea into something teams actually use.

Requirements & Tech Stack

• Strong business curiosity: desire to understand why something matters before building it.
• Growth mindset: seek out feedback, treat unfamiliar problems as chances to improve, and learn quickly.
• Ability to take an ambiguous problem, make reasonable assumptions, communicate those assumptions, and keep moving forward.
• Comfort working with data.
• Strong Excel and/or Google Sheets skills with high ownership and willingness to figure things out without waiting for defined instructions.
• Ability to explain technical concepts clearly to nontechnical stakeholders.
• Cross-functional collaboration skills; ability to understand functional needs and explain technical aspects in plain English.

Qualifications

• 0-2 years of experience; new graduates are encouraged to apply.
• Bachelor's degree (all fields encouraged; focus on analytical skills, drive, and passion for results).
• SQL is a plus.
• Exposure to Python or another scripting language is helpful but not required.
• Meaningful experience using AI tools to analyze, build, automate, or solve problems (through coursework, internships, personal projects, or work experience).