eCommerce Data Analyst

Cart.com • Time, IL

35d

About The Position

As an eCommerce Data Analyst, you will be 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.

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).
• Data storyteller who can build compelling narratives from complex datasets.
• Proven problem-solver who thrives in ambiguity and can structure analyses to answer broad business questions.
• A strategic thinker who understands the “so what?” behind the numbers.
• A collaborative partner who communicates clearly and works cross-functionally with ease.

Nice To Haves

• Experience leveraging LLMs or AI tools to enhance analysis and understand external market factors.
• Familiarity with omni-channel commerce strategies and performance metrics.
• Exposure to merchandising analytics and pricing strategy

Responsibilities

• Serve as the lead analytics partner to senior leadership, translating complex data into clear, actionable insights.
• Collaborate with Growth Marketing to optimize acquisition campaigns, channel mix, and budget allocation.
• Design and implement A/B testing frameworks to drive continuous improvement.
• Analyze user behavior and site performance to identify friction points and improve conversion rates.
• Provide deep-dive insights into product performance, pricing elasticity, and assortment planning.
• Support omni-channel strategy by analyzing marketplace and wholesale data (e.g., Amazon, retail partners).
• Conduct customer segmentation, cohort analysis, and LTV modeling to enhance retention and personalization.
• Partner with Data Engineering to develop dashboards, KPIs, and reporting tools for cross-functional teams.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees