Manager of Customer Data Analytics & Insights
DEPARTMENT Customer & Digital Insights and Analytics
REPORTS TO Sr. Director, Customer & Digital Insights and Analytics
LOCATION Hybrid; 4 days in office per week
EMPLOYMENT TYPE Full-Time
About the Role
Rag & Bone is seeking a Manager of Customer Data Analytics & Insights to own the analytics and data infrastructure that powers customer understanding across the business. This role will sit at the intersection of data, marketing, and technology, translating raw customer data into actionable insights, building and maintaining audience segmentation, and ensuring our data ecosystem (UCP, CDP, CRM) works together to support personalized, data-driven marketing and business decisions.
This is a hands-on, individual-contributor role reporting to the Sr. Director of Customer & Digital Insights and Analytics. It's a great fit for someone equally comfortable writing SQL and Python, exploring a large dataset, building reports, and presenting findings and recommendations to stakeholders across marketing, ecommerce, and leadership.
Key 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 to support marketing, CRM, and personalization initiatives.
Partner with marketing, CRM, ecommerce, and merchandising teams to translate business questions into analytical frameworks and deliver actionable insights.
Design and maintain dashboards and reporting frameworks (e.g., customer lifetime value, retention, cohort analysis, RFM segmentation) to track key customer metrics.
Write and optimize SQL queries to extract, transform, and analyze large datasets from multiple sources.
Query and maintain customer data within our cloud data warehouse (e.g., Snowflake, BigQuery, Databricks, or Oracle), ensuring models are efficient, well-documented, and accessible to downstream teams.
Use Python for data analysis, automation, and modeling (e.g., churn prediction, propensity scoring, clustering).
Manage and optimize the CDP to ensure clean identity resolution, audience activation, and data governance.
Collaborate with CRM/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 both 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 (pandas, numpy, or similar libraries).
Hands-on experience with a Customer Data Platform (CDP), such as ActionIQ, Segment, Tealium, or similar.
Experience working with a cloud data warehouse platform such as Snowflake, BigQuery, Databricks, or Oracle.
Experience working with Shopify or another major ecommerce platform, including familiarity with order, customer, and product data structures.
Strong understanding of customer segmentation methodologies (RFM, cohort analysis, LTV modeling, etc.).
Ability to translate ambiguous business questions into structured analyses and clear recommendations.
Excellent communication skills, with the ability to present data insights to both 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 (Statistics, Data Science, Economics, Computer Science) or equivalent experience.
- The salary for the role is between $120,000 to $140,000 based on candidates experience and expectations.
Preferred Skills
Experience with a CRM/lifecycle marketing platform such as Klaviyo, Braze, or Attentive.
Experience in retail, eCommerce, or DTC environments.
Familiarity with BI/visualization tools (e.g., Looker, Tableau, Power BI).
Experience with A/B testing and experimentation frameworks.
Knowledge of data privacy regulations (GDPR, CCPA) as they relate to customer data.
What Success Looks Like
Marketing and CRM teams have reliable, well-governed customer segments to activate against.
Customer data flows cleanly and consistently across Shopify, the CDP, and downstream tools.
Leadership has clear, timely visibility into customer behavior, retention, and lifetime value trends.
Data-driven recommendations directly inform marketing strategy and customer experience decisions.
Skills Required
- 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, including pandas, NumPy, or similar libraries
- Hands-on experience with a Customer Data Platform such as ActionIQ, Segment, Tealium, or similar
- Experience with a cloud data warehouse such as Snowflake, BigQuery, Databricks, or Oracle
- Experience with Shopify or another major ecommerce platform, including order, customer, and product data structures
- Strong understanding of customer segmentation methodologies, including RFM, cohort analysis, and lifetime-value modeling
- Ability to translate ambiguous business questions into structured analyses and clear recommendations
- Excellent communication skills for presenting insights to technical and non-technical audiences
- Strong attention to detail and rigorous approach to data quality and governance
- Bachelor's degree in Statistics, Data Science, Economics, Computer Science, or equivalent experience
- Experience with a CRM or lifecycle marketing platform such as Klaviyo, Braze, or Attentive
- Experience in retail, ecommerce, or direct-to-consumer environments
- Familiarity with BI or visualization tools such as Looker, Tableau, or Power BI
- Experience with A/B testing and experimentation frameworks
- Knowledge of GDPR and CCPA as they relate to customer data
What We Do
Interested in joining one of the most dynamic fashion brands in the world? To view and apply to all headquarter and retail jobs at rag & bone, please visit our website and careers page: http://www.rag-bone.com/careers From its origins in New York in 2002, rag & bone instantaneously distinguished itself by combining British heritage with directional, modern design. Today, the brand has become synonymous with innately wearable clothing that innovatively melds classic tailoring with an edgy yet understated New York aesthetic. Inspired by a desire to create beautifully constructed clothes, rag & bone prides itself in the time-honored techniques of supremely skilled, local manufacturers at some of the oldest factories in the country. The importance of quality, expert craftsmanship and attention to detail resonated deeply, informing the brand’s core philosophy. With a downtown sensibility, signature clean silhouettes and an inherent integrity, rag & bone continuously redefines urban style. In 2007, rag & bone won the Swarovski Award for emerging talent in Menswear and in 2010, the brand was bestowed the industry’s most prestigious honor when named Menswear Designer of the Year by the Council of Fashion Designers of America (CFDA). rag & bone offers a full range of men’s and women’s ready to wear, /JEAN, Standard Issue, footwear and accessories collections. rag & bone operates 35 stores worldwide, ten of which are in New York City. Stores are also located in Washington, D.C.; Boston, Massachusetts; Dallas, Texas; Los Angeles, California; Greenwich, Connecticut; Aspen, Colorado; and Bal Harbour, Florida. International stores are located in London, UK; Tokyo, Japan; Bangkok, Thailand; Taipei, Taiwan and Hong Kong. rag & bone is also available in boutiques and department stores in over 53 countries worldwide.
