Partner with merchandising and operations leaders to define analytical priorities and translate business questions into structured analyses.
Build and maintain dashboards, reports, and KPI frameworks in Tableau and Excel that give leadership real-time visibility into performance.
Write and optimize SQL queries to extract, join, and transform data across our data warehouse.
Develop Python scripts and pipelines for data cleaning, automation, and exploratory analysis.
Conduct analyses on assortment performance, sell-through rates, inventory efficiency, vendor trends, and operational bottlenecks.
Present findings clearly and concisely to both technical and non-technical audiences, including the COO.
Identify data quality issues and work cross-functionally to resolve them at the source.

Bachelor's or Master's degree in Business Analytics, Statistics, Economics, Mathematics, or a related field.
Proficiency in Python for data analysis (pandas, NumPy, etc.).
Strong SQL skills — comfortable writing complex queries.
Experience building dashboards and visualizations in Tableau.
Advanced Excel skills including pivot tables, complex formulas, and data modeling.
Internship, project, or coursework experience applying these tools to real business problems.
Preferred Qualifications
Experience with R for statistical analysis or modeling.
Background or coursework in merchandising, retail, supply chain, or financial analytics.
Familiarity with statistical methods: regression, hypothesis testing, or forecasting.
Experience with Power BI, Alteryx, or similar BI tools.

Business Analyst

Key skills