- Employment
- Full-Time
- Seniority
- Manager
- Compensation
- $110,000–120,000/year
- Department
- IT & Technology Systems
- Industry
- Fashion, Apparel & Leather Goods
- Posted
- Nov 14, 2026
About rag & bone
Founded in New York in 2002, rag & bone blends British tailoring influences with the authenticity of American workwear and the energy of downtown style. Known for its denim, ready-to-wear and accessories, the brand balances modern design with an enduring focus on craftsmanship, quality and everyday wearability. As an employer, rag & bone brings together creative, commercial and operational expertise across disciplines including design, merchandising and retail. Its distinctive positioning offers professionals the opportunity to contribute to a contemporary fashion brand where attention to detail, cultural relevance and a considered approach to personal style shape both product and customer experience.
rag & bone seeks a hands-on, individual-contributor Customer Data Analytics and Insights Manager in New York, NY, reporting to the Sr. Director of Customer & Digital Insights and Analytics. The role owns customer analytics and data infrastructure across marketing, ecommerce, and technology, translating customer data into segmentation, reporting, and actionable recommendations; pay is up to $110,000–$120,000.
Role & Responsibilities
- Manage the customer data pipeline across Shopify, the CDP (e.g., ActionIQ), and other customer-facing systems, ensuring data accuracy, consistency, and timeliness.
- Build, manage, and continuously refine customer segmentation and audience strategies for marketing, CRM, and personalization initiatives.
- Partner with marketing, CRM, ecommerce, and merchandising teams to turn business questions into analytical frameworks and actionable insights.
- Design and maintain dashboards and reporting frameworks to track customer lifetime value, retention, cohort analysis, RFM segmentation, and other key customer metrics.
- Write and optimize SQL queries to extract, transform, and analyze large datasets from multiple sources.
- Query and maintain customer data in a cloud data warehouse, ensuring models are efficient, well-documented, and accessible to downstream teams.
- Use Python for data analysis, automation, and modeling, including churn prediction, propensity scoring, and clustering.
- Manage and optimize the CDP for identity resolution, audience activation, and data governance.
- Collaborate with CRM and lifecycle marketing teams using platforms such as Klaviyo to support campaign targeting, testing, and measurement.
- Identify opportunities to improve data quality, structure, and accessibility across teams.
- Present findings and recommendations clearly to technical and non-technical stakeholders, including senior leadership.
- Stay current on best practices in customer analytics, data privacy regulations, and marketing technology.
Qualifications
- 4–6+ years of experience in customer analytics, data analysis, marketing analytics, or a related field.
- Proficiency in SQL for querying and manipulating large, complex datasets.
- Working proficiency in Python for data analysis and automation, using pandas, numpy, or similar libraries.
- Hands-on experience with a Customer Data Platform (CDP), such as ActionIQ, Segment, Tealium, or similar.
- Experience with a cloud data warehouse platform such as Snowflake, BigQuery, Databricks, or Oracle.
- Experience with Shopify or another major ecommerce platform, including familiarity with order, customer, and product data structures.
- Strong understanding of customer segmentation methodologies, including RFM, cohort analysis, and LTV modeling.
- Ability to translate ambiguous business questions into structured analyses and clear recommendations.
- Excellent communication skills, including the ability to present data insights to technical and non-technical audiences.
- Strong attention to detail and a rigorous approach to data quality and governance.
- Bachelor’s degree in a quantitative field such as Statistics, Data Science, Economics, or Computer Science, or equivalent experience.
- Preferred: Experience with a CRM/lifecycle marketing platform such as Klaviyo, Braze, or Attentive.
- Preferred: Experience in retail, eCommerce, or DTC environments.
- Preferred: Familiarity with BI/visualization tools such as Looker, Tableau, or Power BI.
- Preferred: Experience with A/B testing and experimentation frameworks.
- Preferred: Knowledge of data privacy regulations, including GDPR and CCPA, as they relate to customer data.
Skills
Experience
4–6+ years in customer analytics, data analysis, marketing analytics, or a related field.
Education
Bachelor’s degree in a quantitative field (Statistics, Data Science, Economics, Computer Science) or equivalent experience.
Workplace
The role is situated in New York, New York, USA.
Explore jobs in New York or in the USA.
Compensation
The base compensation for this position ranges from USD 110,000 to USD 120,000 per annum.
Culture
rag & bone’s workplace culture reflects its New York roots and British tailoring influences, balancing a contemporary, independent spirit with a strong appreciation for craftsmanship. Its creative environment connects design with everyday practicality, placing authentic style, attention to detail and thoughtful execution at the heart of the brand’s work.
About Cerulean
Cerulean is the definitive career portal for the global luxury industry. We match exceptional professionals with exclusive opportunities at the world's most prestigious brands. From haute couture and fine watchmaking to prestige beauty, hospitality, and boutique retail, Cerulean centralises luxury employment to help you find the career for which you were destined.