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Data Analyst

Job in Long Beach, Los Angeles County, California, 90899, USA
Listing for: CarParts.com
Full Time position
Listed on 2026-10-15
Job specializations:
  • IT/Tech
    Data Analyst, Digital Marketing
Salary/Wage Range or Industry Benchmark: 80000 - 95000 USD Yearly USD 80000.00 95000.00 YEAR
Job Description & How to Apply Below
What We Do

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 , 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

We are looking for a Data Analyst to join our team and play a key role in driving marketing performance through data analysis, A/B testing, and website optimization. This person will work cross-functionally with marketing, product, and engineering teams to measure campaign effectiveness, design and analyze experiments, and surface insights from website metrics that inform strategy and drive growth.

You Will
  • Analyze marketing campaign performance across channels including email, paid media, SEO, and loyalty programs to measure incremental impact and ROI
  • Design, execute, and analyze A/B and multivariate tests across website pages, landing pages, and marketing funnels
  • Define test hypotheses, sample sizes, success metrics, and statistical significance thresholds to ensure rigorous experimentation
  • Monitor and report on key website KPIs including traffic, bounce rate, conversion rate, average order value, and session-level behavior
  • Utilize web analytics platforms (Google Analytics / GA4, Big Query ) to uncover user behavior patterns and identify optimization opportunities
  • Map and analyze customer journeys across the site to identify friction points and drop-off areas
  • Build and maintain dashboards and reports to communicate marketing and website performance to stakeholders
  • Translate business questions into analytical projects, conduct end-to-end analysis, and communicate actionable insights
  • Collaborate with cross-functional teams to integrate test results and analytics findings into marketing strategy
You Must Have
  • Bachelor's or Master's degree in Data Analytics, Statistics, Marketing, Business Analytics, or a related quantitative field
  • 2 years of professional experience in marketing analytics, web analytics, or a related analytical role
  • Proficiency in SQL and Excel for data extraction, analysis, and reporting
  • Familiarity with Python for statistical analysis
  • Hands-on experience with web analytics tools (Google Analytics / GA4, Big Query , or Adobe Analytics)
  • Experience with e-commerce or retail marketing data
  • Knowledge of SEO/SEM metrics and best practices
  • Strong understanding of A/B testing methodologies, statistical significance, and experimentation best practices
  • Experience with data visualization tools (Tableau, Looker, Power BI, or similar)
  • Good communication…
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