CarParts.com
CarParts.com
CarParts.com upravlja spletno platformo za maloprodajo avtomobilske opreme, osredotočeno na nadomestne dele, dodatno opremo za vozila in druge komponente za potrošnike. Njeno poslovanje e-trgovine neposredno do potrošnikov ponuja izdelke z nadomestnega trga in izdelke, enakovredne originalnim delom, podpirajo pa ga dejavnosti na področjih avtomobilske maloprodaje, logistike in proizvodnje.

Data Analyst, Marketing Analytics — CarParts.com

Improve CarParts.com’s e-commerce marketing with campaign analysis, experimentation, and website analytics. Turn customer behavior data into insights that inform growth decisions.

Opis

  • Assess email, paid media, SEO, and loyalty campaign performance to quantify incremental impact and return on investment.
  • Plan and evaluate A/B and multivariate tests across site pages, landing pages, and marketing funnels.
  • Set test hypotheses, sample sizes, outcome measures, and thresholds for statistical significance.
  • Track and report website metrics such as traffic, bounce and conversion rates, average order value, and session behavior.
  • Use Google Analytics or GA4 and BigQuery to identify user behavior patterns and opportunities to improve performance.
  • Analyze customer journeys to locate friction and points where users drop off.
  • Create and maintain dashboards and stakeholder reports.
  • Turn business questions into analytical projects and carry out analysis from start to finish.
  • Share practical findings and work with marketing, product, and engineering teams to incorporate them into strategy.

Zahteve

  • Bachelor’s or master’s degree in data analytics, statistics, marketing, business analytics, or a related quantitative discipline.
  • At least two years of professional experience in marketing analytics, web analytics, or a related analytical position.
  • Proficiency in SQL and Excel for extracting, analyzing, and reporting data.
  • Familiarity with Python for statistical analysis.
  • Practical experience with web analytics platforms such as Google Analytics or GA4, BigQuery, or Adobe Analytics.
  • Experience working with e-commerce or retail marketing data.
  • Knowledge of SEO and SEM metrics and practices.
  • Strong grasp of A/B testing, statistical significance, and sound experimentation practices.
  • Experience with a data visualization platform such as Tableau, Looker, or Power BI.
  • Clear communication skills and the ability to explain data insights to nontechnical audiences.

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