Senior Data Analyst, Growth Program Insights

Crate and Barrel; Northbrook (IL); On-site; USD 80,000 - 110,000; Full time

Job summary

A renowned home goods retailer seeks a Senior Analyst to lead program analytics driving customer experiences across platforms. This fully remote position requires expertise in SQL and analytics tools like Adobe and Google Analytics. Responsibilities include analyzing customer data, optimizing touchpoints, and making strategic recommendations. Candidates should have 5+ years of experience and a bachelor's degree in a quantitative field. Strong skills in Python or R are essential for data analysis and modeling.

Qualifications

• 5+ years of experience in data analyst or growth analytics roles.
• Proven experience delivering complex data analysis projects.
• Strong knowledge of statistical analysis methods.

Responsibilities

• Lead analysis of customer segments and conversion funnels.
• Deliver strategic recommendations to optimize digital touchpoints.
• Design and execute A/B tests and experiments.
• Define success metrics and track impact across key business outcomes.

Skills

Advanced SQL proficiency

Experience with Adobe Analytics

Data visualization skills (Tableau, Power BI)

Statistical analysis methods

Proficiency with Python or R

Data storytelling

Education

Bachelor’s degree in Data Science or related field

Tools

Adobe Analytics

Google Analytics

Tableau

Power BI

Job description

As a Senior Analyst on the Differentiated Services Insights team, you will lead high-impact program analytics that drive personalized and differentiated customer experiences across digital and offline touchpoints, including our Design Service, Registry, CBCC, Trade, B2B and Mover programs. This strategic role leverages advanced analytics, web and digital journey analysis, and experimentation to deliver actionable insights on customer behavior, 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

• Lead analysis of customer segments, digital behaviors, and web/app conversion funnels to identify opportunities for personalization and premium experiences
• Deliver strategic recommendations to optimize digital touchpoints and address drop-offs and optimization opportunities
• Utilize tools like Adobe Analytics or Google Analytics for deep-dive investigations
• Design and execute A/B tests and experiments, applying statistical methods to rigorously measure impact, ROI, and lift
• Define success metrics and track impact across key business outcomes, including engagement, conversion, retention, and Customer Lifetime Value
• Own the end-to-end analytics lifecycle, including structuring ambiguous problems and translating complex findings into executive-ready insights
• Collaborate with product, marketing, CRM, and digital teams to influence strategic roadmaps and execution
• 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
• Experience in using Adobe Analytics or Google Analytics to analyze user digital journey
• 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
• 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 Python or R for advanced data analysis and modeling
• Experience working with large‑scale customer, transactional, or behavioral datasets