Senior Data Analyst

What We Do

CarParts.com is the go-to eCommerce platform for auto care and maintenance. We provide drivers with quality parts at competitive prices and enable them to schedule appointments with trusted mechanics directly through our website. Using world-class design principles and the latest technologies, we deliver a fast, intuitive digital experience backed by our company-owned national distribution network.

With over 1,000 employees worldwide, we are scaling rapidly, fueled by our most recent strategic partnership and $35 million investment. This positions us for the next phase of growth as we continue to empower drivers along their journey.

Our Culture

At CarParts.com, our culture goes beyond our core values of Safety First, Customer Focused, and Commitment to Excellence. We are a performance-driven, data-focused, and fast-paced team where results matter and winning is expected.

• Hungry & Hardworking: We set ambitious goals, measure progress with clear metrics, and hold ourselves accountable to deliver results.
• Promote from Within: We reward top performers with opportunities for growth and advancement.
• Collaborative & In-Person: We believe the best ideas and fastest execution happen face-to-face.
• High Standards: We move quickly, pay attention to details, and dig deep—whether it’s analyzing contracts, aggregating complex scenarios, or building clear, data-driven presentations.
• No Passengers: We value grit, ownership, and the relentless pursuit of results
  
  

Summary of Role/Position

CarParts.com, Inc. is seeking a highly experienced Senior Data Analyst with deep expertise in pricing strategy, pricing automation, and revenue optimization . This role will play a critical part in designing, maintaining, and scaling automated pricing logic while delivering high-impact insights that influence revenue, margin, and competitive positioning.

As a senior member of the Data Science team , you will work closely with Merchandising, Supply Chain, Marketing, Product, IT, and Executive Leadership to translate complex pricing data into actionable business decisions. The ideal candidate combines strong analytical rigor with hands-on technical skills and a proven ability to influence stakeholders through data.

Day-to-day responsibilities

• Own and continuously improve pricing logic, pricing models, and automation frameworks to support scalable, data-driven pricing decisions
• Design, implement, and monitor pricing strategies to optimize key business metrics including gross margin, revenue, and competitiveness
• Lead pricing experimentation and testing (e.g., elasticity analysis, competitive pricing tests, promotions), translating results into clear recommendations for leadership
• Partner with Merchandising, Marketing, and Product teams to identify pricing opportunities, risks, and performance gaps
• Work cross-functionally to define data requirements, analytical approaches, and modeling needs
• Perform data exploration, statistical analysis, and visual storytelling, automating recurring business reports
• Build and maintain scalable dashboards and self-service analytics tools that adapt to evolving business needs
• Identify opportunities to optimize costs and streamline processes through analytics and automation
• Apply strong coding, analytical thinking, and (where appropriate) machine learning techniques to translate business questions into actionable insights
• Clearly communicate complex findings in a concise, executive-ready format to technical and non-technical audiences
  
  

Minimal Requirements

• Bachelor’s degree in Statistics, Economics, Business, Marketing, or another quantitative field
• 5–7 years of professional experience in data analytics, with a strong focus on pricing, revenue, or monetization analytics
• Strong experience with Tableau or similar data visualization tools
• Proficiency in Python, including Pandas, NumPy, and data visualization libraries
• Solid experience with SQL
• Strong analytical skills with exceptional attention to detail
• Ability to manage multiple priorities and work effectively in a deadline-driven environment
• Excellent written and verbal communication skills
• Proven ability to deliver insights and present findings clearly to stakeholders
• Curiosity and willingness to learn new tools, technologies, and methodologies
• Ability to work both independently and collaboratively within a team
  
  

Preferred Experience

• Master's degree in Statistics, Economics, Business Analytics, or a related quantitative field
• Experience with Databricks, cloud data platforms, or large-scale analytics environments
• Experience designing or supporting ETL pipelines and data workflows
• Background in e-commerce, retail, marketplace, or supply-chain-driven pricing environments
• Familiarity with price elasticity modeling, competitive pricing analysis, or promotional optimization
  
  

A reasonable estimate of the salary range for this position based of education, experience, and global geographic region is: $100,000-$140,000

Equal Opportunity Employer

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.