CarParts.com тұтынушыларға арналған қосалқы бөлшектерге, көлік аксессуарларына және басқа да құрамдас бөліктерге бағытталған онлайн автомобиль бөлшектері сауда платформасын басқарады. Оның тұтынушыға тікелей бағытталған электрондық коммерция бизнесі автомобиль бөлшектері саудасы, логистика және өндіріс салаларын қамтитын операциялармен қамтамасыз етіліп, кейінгі нарыққа арналған және OEM баламалы өнімдерді ұсынады.
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.
Сипаттама
- 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.
Талаптар
- 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.