Business Analyst

CarParts.com • Long Beach, CA

6d • $0 - $100,000 • Onsite

About The Position

CarParts.com is the go-to eCommerce platform for auto care and maintenance, offering quality parts at competitive prices and allowing customers to schedule appointments with mechanics directly from their website. They utilize world-class design principles and the latest technologies to deliver a fast, easy-to-use, and mobile-intuitive website. With a company-owned national distribution network, they bring brands and manufacturers directly to consumers, cutting out traditional retail costs. Their more than 1,700 team members worldwide are dedicated to Empowering Drivers Along Their Journey. The company culture is driven by core values: Safety First, Customer Focused, and a Commitment to Excellence, fostering an environment where employees are inspired and empowered. This has resulted in record-breaking quarters and recognition as a top workplace.

Requirements

• 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.

Nice To Haves

• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level