Data Analyst

CarParts.com • Full-time • Torrance, California, United States • $90k - $105k / year • 1w ago

What We Do

CarParts.com is the go-to eCommerce platform for auto care and maintenance. We offer drivers quality parts at competitive prices and allow customers to schedule an appointment with a trusted mechanic directly from our website. We use world-class design principles and the latest technologies to deliver a fast, easy-to-use, and mobile-intuitive website. And with our company-owned national distribution network, we bring the best brands and manufacturers directly to consumers, cutting out the costs associated with brick-and-mortar retailers. Our more than 1,700 team members worldwide are dedicated to Empowering Drivers Along Their Journey.

Our Culture

At CarParts.com, we’re DRIVEN by our core values: Safety First, Customer Focused, and a Commitment to Excellence. These values guide us in everything we do and push us further in our growth both as a company and as people. They cultivate an environment where employees are inspired and empowered as we build and thrive together. 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). Join us!

Summary of Role/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 finance, 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 optimizing Variable Cost Margin (VCM) and improving freight cost efficiency, and thrives in a collaborative environment, working with stakeholders across multiple domains.

Day-to-Day Responsibilities

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 freight costs, shipping patterns, and operational KPIs to recommend improvements.
Build dashboards and automated reports to monitor VCM, freight efficiency, and profitability metrics.
Communicate complex analyses and technical solutions in a clear, business-friendly manner.

Minimal Requirements

3+ 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.

Preferred Experience

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 VCM, freight cost analysis, or profitability KPIs.

A reasonable estimate of the salary range for this position based on job experience, education level, global geographic region, etc: $90,000-$105,000

CarParts.com is an equal-opportunity employer. We enthusiastically accept our responsibility to make employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, national origin, religion, marital status, medical condition, physical or mental disability, military service, pregnancy, childbirth and related medical conditions, or any other classification protected by federal, state, and local laws and ordinances. Our management is dedicated to ensuring that we fulfill this policy with respect to hiring, placement, promotion, transfer, demotion, layoff, termination, recruitment advertising, pay, and other forms of compensation, training, and general treatment during employment.

The above-noted job description is not intended to describe, in detail, the multitude of tasks that may be assigned but rather to give the incumbent a general sense of the responsibilities and expectations of his/her position. As the nature of business demands change so, too, may the essential functions of this position.