Buying & Merchandising AI Analyst

Alo Yoga•Beverly Hills, CA

2d•Onsite

About The Position

The Buying & Merchandising AI Analyst uses AI analytics and automation to improve reporting and forecasting, support pricing analysis, and strengthen business execution. Working in a design-led company, the analyst turns data into actionable insights that support the product vision and commercial performance. Reporting into the Buying organization, this role supports Buying and Merchandising by bringing AI and automation into everyday workflows. The analyst works with users to understand their needs, identify manual and Excel-based processes for improvement, and develop practical AI-powered tools and scalable solutions with guidance. The role also owns recurring deliverables and supports cross-functional initiatives, including international pricing, to improve efficiency, strengthen insights, and enable better decisions. This is a full-time, in-office position.

Requirements

At least 2 years of experience in analytics, pricing, buying, merchandising, or planning.
Practical AI experience and sound judgment about AI capabilities, limitations, and responsible use.
Advanced Excel skills and working knowledge of SQL.
Experience with Tableau, Power BI, or comparable tools.
Strong business acumen and analytical skills, with an interest in pricing and retail performance.
High attention to detail, with strong data validation and problem-solving skills.
Excellent communication, organizational, and interpersonal skills across business and technical teams.
Entrepreneurial spirit, an ownership mindset, and the ability to prioritize in a fast-paced environment.

Nice To Haves

Retail or e-commerce experience.
Familiarity with Python, workflow automation, or application development.

Responsibilities

Automate recurring reporting and analysis with AI to reduce manual work and improve accuracy and timeliness.
Develop AI-enabled dashboards, tools, and workflows under guidance to deliver actionable insights.
Validate AI outputs against trusted data and business context, investigate discrepancies, and apply human review.
Test and document approved AI tools, measure productivity and quality, and protect company data.
Support international pricing analysis across market trends, competitive positioning, and margins.
Enhance pricing tools under guidance to improve reliability, usability, and opportunity assessment.
Analyze product and business performance for seasonal reviews, leadership discussions, and key initiatives.
Connect business and technical teams to clarify needs, resolve issues, and support timely delivery.