Senior Analyst, Customer Analytics - Growth Programs

Crate and Barrel; Northbrook (IL); Hybrid; USD 90,000 - 130,000; Full time

Job summary

Crate and Barrel is seeking a Senior Data Analyst on the Customer Analytics team to lead high‑impact analytics focused on gift registry, credit card loyalty, and design services. This fully remote, IC role leverages advanced analytics, web journey analysis, and experimentation to deliver actionable insights and strategic recommendations.

In this role you will define success metrics, collaborate across product and marketing teams, and design experiments to rigorously measure impact, while

Qualifications

• 5+ years of hands-on data analyst or growth analytics experience.
• Bachelor's degree in a quantitative field or equivalent practical experience.
• Proven experience delivering complex data analysis projects in an agile environment.
• Strong SQL, Python or R for advanced data analysis and modeling.
• Experience with large customer, transactional, or behavioral datasets.

Responsibilities

• Define success metrics and track impact across key business outcomes (engagement, conversion, retention, CLV).
• Collaborate with product, marketing, CRM, and digital teams to influence strategic roadmaps and execution.
• Design and run A/B tests and experiments to measure impact, ROI, and lift.
• Maintain technical proficiency with SQL; use Python or R for deep analysis.
• Partner with data engineering teams to ensure data quality and integrity.

Skills

Advanced SQL

Python or R

Statistical analysis

Data storytelling

Data visualization

Adobe Analytics / Google Analytics

Education

Bachelor's degree in Data Science, Information Systems, Mathematics, Statistics, Business Analytics, or related quantitative field

Tools

Tableau

Power BI

Looker

Adobe Analytics

Google Analytics

Job description

As a Senior Analyst on the Customer Analytics team, you will lead high-impact customer analytics with a special focus on customer behaviors and opportunities within key growth programs such as Gift Registry, Credit Card Loyalty, and Design Services. This strategic role leverages advanced analytics, web and digital journey analysis, and experimentation to deliver actionable insights on customer behavior, program health, engagement, and loyalty, resulting in strategic recommendations.

• This position is fully remote

• This role is an Individual Contributor position

A day in the life as a Senior Data Analyst, Growth Program Insights…

• Define success metrics and track impact across key business outcomes, including engagement, conversion, retention, and Customer Lifetime Value (CLV)

• Collaborate with product, marketing, CRM, and digital teams to influence strategic roadmaps and execution

• 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

• Partner with data engineering teams to ensure data quality and integrity

What you’ll bring to the table…

• Advanced SQL proficiency for complex data querying, transformation, and optimization

• Expertise in data visualization tools (Tableau, Power BI, Looker) for developing dashboards and communicating insights

• Strong knowledge of statistical analysis methods, including hypothesis testing, regression analysis, and experimental design

• Experience in analyzing large customer datasets and identifying meaningful patterns

• Proficiency with Python or R for data mining, feature engineering, or statistical modeling

• Experience in using Adobe Analytics or Google Analytics to analyze user digital journey

• Strong data storytelling and communication skills with the ability to translate complex insights into clear business recommendations

• Ability to connect analytical findings to business performance and strategic decisions

We’d love to hear from you if you have…

• 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