Business Analyst
About the role
We are looking for a sharp, curious Business Analyst to sit within the Office of the COO and serve as a trusted analytical partner across our merchandising and operations teams. This is a high-visibility, on-site role with direct access to senior leadership — ideal for a recent graduate or early-career analyst with strong technical skills and a drive to make an impact.
Responsibilities
- 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.
Requirements
A recent graduate or early-career analyst eager to grow in a fast-paced, high-accountability environment. Comfortable owning a project from raw data all the way to a polished executive summary. You ask good questions before diving into the data — and better questions after. You communicate clearly and can tailor a story to your audience. Naturally curious about retail, merchandising, and operations.
Qualifications
- 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.
Benefits
All the hard work of our entire team has resulted in back-to-back record-breaking quarters since Q1 of 2020, as well as our inclusion in the Los Angeles Business Journal’s top 100 Best Places to Work in Los Angeles list for four years in a row (2020, 2021, 2022, 2023).
Pay
A reasonable estimate of the salary range for this position based on job experience, education level, global geographic region, etc: $90,000-$100,000
Schedule
This is a full-time, on-site position.