Manager, Customer Data Analytics & Insights

rag & bone, Inc.; New York (NY); Hybrid; USD 120,000 - 140,000; Full time

Job summary

Rag & Bone is seeking a Manager of Customer Data Analytics & Insights to own the analytics and data infrastructure powering customer understanding across the business. This hands-on role translates raw data into actionable insights, builds audience segmentation, and ensures our data ecosystem supports personalized marketing and data-driven decisions.

The ideal candidate will write SQL and Python, explore large datasets, build reports, and present findings to stakeholders across marketing,

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 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.

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.

Skills

Customer analytics

Segmentation

Data storytelling

Attention to detail

Education

Bachelor's degree in quantitative field

Tools

SQL

Python

ActionIQ/CDP

Snowflake/BigQuery

Shopify data

Klaviyo

Job description

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.