Position Details
About this role
Lead Data Analyst for Merchandising Analytics Essentials and Beauty; responsible for delivering data-driven insights, developing pricing-related metrics, and supporting cross-functional pricing decisions in a hybrid work environment.
Key Responsibilities
- Explore data and derive insights
- Build dashboards and ad hoc analyses
- Drive pricing analytics and elasticity
- Develop new data metrics for initiatives
- Collaborate with pricing analysts and product teams
Technical Overview
Expertise in SQL, Python or R, AB testing, and forecasting; experience with Hadoop ecosystem and visualization tools; strong data storytelling and stakeholder collaboration across merchandising, product, and pricing teams.
Ideal Candidate
The ideal candidate is a senior data analyst with 6+ years of experience, advanced SQL skills, and proficiency in Python or R, plus strong experience in merchandising analytics and pricing decisions. The role requires data storytelling to business partners and the ability to lead analytics initiatives in a hybrid environment.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
6+ years of relevant experience is not met, Inability to work in a hybrid Minneapolis-based setting
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