We inspire purpose-filled living that brings joy to the modern home. With a team of more than 8,000 associates spanning 130 store and distribution locations across the U.S. and Canada, we achieve together, drive results and innovate to inspire. Drawn together by a shared passion for our customers and a spirit of fun, we deliver high-quality home furnishings that are expertly designed, responsibly sourced and bring beauty and function to people’s homes. From the day we opened our first store in Chicago in 1962 to the digital innovations that engage millions of customers today, our iconic brand is nearly 60 years in the making—and our story is still unfolding.
As a Lead Data Analyst on the Customer Insights team, you will be a key influencer responsible for advancing the organization’s understanding of customers across brands, categories, and touchpoints. This role leads complex analytical initiatives that develop foundational customer insights, strengthen customer identity resolution, and enhance customer profiles used across the business.This position is fully remote
This role is an Individual Contributor position
A day in the life as a Lead Data Analyst, Customer Insights
Lead the analysis of complex, high-impact customer analytics problems using advanced statistical and analytical methodologies
Identify and interpret meaningful patterns, behavioral drivers, and anomalies in large customer datasets to uncover strategic insights across brands and categories
Translate analytical findings into actionable insights and recommendations that inform business decisions
Lead analytical initiatives that improve customer identity resolution across systems and channels
Develop enriched customer profiles and customer-level datasets that support a consistent Customer 360 view
Partner with data engineering teams to ensure the integrity and accessibility of customer data used for analytics
Develop scalable analytical frameworks that establish the single source of truth for customer metrics and insights across the organization
Design and maintain analytical data structures (feature sets, analytical tables, and transformation logic) that support consistent customer insights and reporting
Design and implement A/B tests and experimental frameworks to evaluate customer behavior, engagement strategies, and business initiatives
Apply advanced statistical techniques such as regression analysis, hypothesis testing, and causal inference to measure business impact
Design and develop sophisticated dashboards and visualizations that clearly communicate customer insights to stakeholders
Translate complex analytical outputs into clear, executive-ready narratives that influence strategic decision-making
Establish best practices for analytical rigor, data visualization standards, and documentation
Collaborate closely with data engineering, data science, and business teams to define analytical requirements and ensure high-quality data solutions
Champion agile team practices (Scrum/Kanban) and contribute to continuous improvement in analytics workflows
Stay current with emerging statistical methods, machine learning techniques, and data technologies
Identify opportunities to improve analytical frameworks, customer data quality, and insight generation across the organization
What you’ll bring to the table…
Expert-level SQL proficiency for complex data manipulation, transformation, and query optimization across large-scale datasets
Advanced experience with data visualization tools (Tableau, Power BI, Looker) to develop interactive dashboards and analytical storytelling
Strong expertise in statistical analysis and modeling techniques, including regression analysis, hypothesis testing, and causal inference
Experience designing analytical frameworks for customer identity resolution, customer segmentation, or behavioral analytics
Proficiency in Python or R for advanced data analysis, feature engineering, and predictive modeling
Exceptional communication and collaboration skills with the ability to translate complex analytical findings into business insights
Ability to influence cross-functional stakeholders and drive data-informed decision making
We’d love to hear from you if you have…
8+ years of experience in a hands-on data analytics or customer 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 leading complex analytical initiatives and delivering high-impact insights in an agile environment
Strong experience working with large-scale customer datasets and analytical modeling frameworks
Proficiency in Python or R for advanced data manipulation and modeling
Euromarket Designs, Inc., which does business as Crate and Barrel and CB2, will be referred to as “the Company”. The Company is deeply committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please contact the location you are applying to here and ask to speak with a manager regarding the nature of your request.
The Company is an equal opportunity employer; applicants are considered for all positions without regard to race, color, religious creed, sex, national origin, citizenship status, age, physical or mental disability, sexual orientation, gender identity, marital, parental, veteran or military status, unfavorable military discharge, or any other status protected by applicable federal, state or local law.
The Company participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the US.
State / City Compliance: The Company will consider for employment qualified applicants with criminal history, including arrest and conviction records, in accordance with the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
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