Senior Marketing Channel Insights Data Analyst

Job not on LinkedIn

🔥 3 hours ago

🌽 Illinois – Remote

🌽 Illinois – Remote

⏰ Full Time

🟠 Senior

📉 Data Analyst

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Crate and Barrel

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🛒 Retail

🛍️ eCommerce

👥 B2C

Retail • eCommerce • B2C

Crate and Barrel is an industry-leading home furnishings specialty retailer founded in 1962 that helps people build purposeful homes across a family of brands including Crate & Barrel, Crate & Kids, CB2, and Hudson Grace. A leader in omnichannel and direct-marketing retail, the company operates more than 100 stores in the U. S. and Canada, supports international franchise locations and eCommerce platforms in multiple countries, and offers curated sourcing, production, custom delivery and set-up in over 90 countries. Owned by the Otto Group, Crate & Barrel emphasizes the physical retail experience alongside robust digital and eCommerce capabilities and employs roughly 7,500 associates.

📋 Description

• Conduct in-depth statistical analysis of owned marketing channel performance, including email, SMS, push notifications, direct mail, and in-app messaging • Develop dashboards and interactive visualizations that communicate marketing performance insights to stakeholders • Design and execute A/B tests and experiments, applying statistical methods to rigorously measure impact, ROI, and lift • Maintain technical proficiency by writing advanced SQL queries and utilizing Python or R for deep analysis • Translate analytical findings into actionable insights and recommendations that support marketing and customer engagement decisions • Collaborate with marketing, CRM, and operational teams to influence strategic roadmaps and execution • Partner with data engineering teams to ensure data quality and integrity

🎯 Requirements

• 5+ years of experience in a hands-on data analyst or growth analytics role • Bachelor's degree in Data Science, Information Systems, Mathematics, Statistics, Business Analytics, or a related quantitative field (or equivalent practical experience). • Proven experience delivering complex data analysis projects in an agile or collaborative environment • Strong proficiency in SQL, Python or R for advanced data analysis and modeling • Experience working with large-scale customer, transactional, or behavioral datasets

🏖️ Benefits

• Medical/Dental/Vision • Life insurance and Disability • Retirement and 401(k) match • Paid time off, wellness time and volunteer time • Merchandise discount and EAP resources • Tuition Reimbursement