Manager of Customer Data Analytics & Insights

Rag & Bone•New York, NY

1d•$110,000 - $120,000

About The Position

Rag & Bone is seeking a Manager of Customer Data Analytics & Insights to own the analytics and data infrastructure that supports customer understanding across the business. The role sits at the intersection of data, marketing, and technology, translating customer data into actionable insights, building and maintaining audience segmentation, and ensuring the UCP, CDP, and CRM data ecosystem supports personalized marketing and business decisions. This is a hands-on individual-contributor role reporting to the Sr. Director of Customer & Digital Insights and Analytics. The role combines SQL and Python work, large-dataset analysis, report building, and presenting findings and recommendations to stakeholders across marketing, ecommerce, merchandising, and leadership.

Requirements

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 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 such as RFM, cohort analysis, and LTV modeling.
Ability to translate ambiguous business questions into structured analyses and clear recommendations.
Excellent communication skills and 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.

Nice To Haves

Experience with a CRM or lifecycle marketing platform such as Klaviyo, Braze, or Attentive.
Experience in retail, eCommerce, or DTC environments.
Familiarity with BI and visualization tools such as Looker, Tableau, or Power BI.
Experience with A/B testing and experimentation frameworks.
Knowledge of data privacy regulations such as GDPR and CCPA as they relate to customer data.

Responsibilities

Manage the customer data pipeline across Shopify, the CDP, and other customer-facing systems, ensuring data accuracy, consistency, and timeliness.
Build, manage, and 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 for 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 data models are efficient, 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 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.