Cart.com
201-500 employees
About Cart.com
Cart.com is a comprehensive e-commerce platform that provides end-to-end solutions for brands and merchants to build, operate, and grow their online businesses. Founded in 2019, the company offers a unified platform combining e-commerce technology, fulfillment, marketing, and analytics services to empower sellers with the tools needed to succeed in the digital marketplace. Cart.com's mission is to simplify and accelerate e-commerce growth by integrating all critical components into a single platform, enabling brands to focus on their products and customers. The company serves a wide range of clients, from emerging brands to established enterprises, and is recognized for its innovative approach to streamlining online retail operations.
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Description
- As an eCommerce Data Analyst at Cart.com, you will serve as a strategic partner to senior leaders across marketing, product, merchandising, and omni-channel teams.
- Your mission is to uncover actionable insights that drive performance, optimize customer experience, and fuel growth across Cart.com’s ecommerce ecosystem.
- You will translate complex data into clear insights, collaborate on campaign optimization, design A/B testing frameworks, analyze site and user behavior, and support omni-channel strategies through data analysis.
- The role requires building dashboards, KPIs, and reporting tools, and involves working with various data platforms and tools to enhance business performance.
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Requirements
- 3–5 years of experience in ecommerce, merchandising, or marketing analytics.
- Hands-on experience with ecommerce platforms like Shopify and apps such as Boost Commerce, ReBuy Engine, Constructor, Report Pundit.
- Proficiency in web analytics tools (Google Analytics 4, Elevar, Adobe Analytics).
- Strong SQL skills and advanced Excel capabilities.
- Experience with data visualization tools (Tableau, Power BI, Looker Studio).
- Demonstrated success in advanced analytics (segmentation, cohort analysis, LTV modeling).
- Nice to Haves: Experience leveraging LLMs or AI tools, familiarity with omni-channel commerce strategies, exposure to merchandising analytics and pricing strategy.
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Benefits
- Health insurance
- Dental and vision coverage
- 401(k) retirement plan
- Paid time off (PTO)
- Parental leave
- Remote work options
- Flexible work hours
- Opportunities for professional development