Data Analyst

CarParts.com • Long Beach, CA

15d • $0 - $90,000

About The Position

CarParts.com, Inc. is seeking an exceptional Data Analyst with strong experience in data analysis, coding, and visualization, and the ability to transform data into actionable insights that drive business outcomes. In this role, you will leverage data to solve complex challenges across pricing, sales, and supply chain by applying analytical, statistical, and computational approaches. As part of the Data Science team, you will contribute to ETL design, assist in building ML and computational models, and develop automated reporting solutions. The ideal candidate has a strong passion for e-commerce and supply chain projects, with an emphasis on pricing strategy to maximize sales and margin, and thrives in a collaborative environment, working with stakeholders across multiple domains.

Requirements

• 1+ years of full-time experience in a data-focused role.
• Bachelor’s degree in a quantitative field (e.g., Statistics, Computer Science, Economics).
• Strong proficiency in Python with experience in Apache Spark.
• Solid hands-on experience with SQL for large-scale data manipulation.
• Experience designing automated reports and visualizations.
• Strong business acumen with the ability to connect data analysis to cost optimization and profitability improvement.

Nice To Haves

• Master’s or PhD in Statistics, Economics, Marketing, Business, or another quantitative field.
• Prior experience in e-commerce, retail, or supply chain optimization.
• Familiarity with Databricks and cloud-based data platforms.
• Experience working with price elasticity modeling, competitive pricing analysis, or promotional optimization.

Responsibilities

• Design, implement, and monitor pricing strategies to optimize key business metrics including gross margin, revenue, and competitiveness.
• Partner with Merchandising, Marketing, and Product teams to identify pricing opportunities, risks, and performance gaps.
• Partner with business stakeholders to identify opportunities for data-driven solutions.
• Leverage PySpark and SQL to process and unify large datasets from multiple sources.
• Design and optimize ETL pipelines for reporting and analytics.
• Apply strong coding skills and analytical thinking to develop scalable solutions.
• Analyze transaction-level data to optimize VCM, improve pricing, and identify cost-saving opportunities.
• Conduct deep-dive analysis into sale, freight costs, shipping patterns, and operational KPIs to recommend improvements.
• Communicate complex analyses and technical solutions in a clear, business-friendly manner.

What This Job Offers

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