Responsibilities

• Define and maintain core CRM customer and segment definitions (e.g., tenure, lifecycle stage, value tiers, lapsed/reactivated, channel preferences).
• Build and automate CRM reporting across both retail and ecomm (file health, acquisition, repeat, reactivation, churn, and campaign performance).
• Build, automate, and maintain CRM dashboards and performance reports across retail, e-commerce, and clienteling channels.
• Analyze customer behavior, segmentation, lifecycle journeys, and sales performance to identify opportunities to grow retention and loyalty across channels (Retail and ecom)
• Track omni-channel campaign performance — from email to clienteling outreach for both retail and customer care and in-store activations.
• Build measurement framework for marketing campaigns for Retail, Customer Care & Email to report on client engagement across segments and demo.
• Support A/B testing, cohort analysis, predictive modeling, and customer LTV forecasting.
• Work closely with CRM, Retail and Customer care to measure effectiveness of CRM loyalty campaigns and monthly outreach plans.
• Lead Loyalty analytics to support the CRM strategy and identify key opportunities for the business
• Create cohort and time-based views to answer questions like:

Requirements

• Minimum 3–5+ years in CRM / customer / lifecycle analytics (retail, ecommerce, or similar).
• Strong SQL (complex joins, aggregations, window functions) for building customer/cohort views directly from transactions and customer tables.
• Experience with major CRM / ESP / CDP platforms (e.g., Salesforce Marketing Cloud, Data cloud, Salesforce Service/ Sales cloud).
• Experience working with omnichannel data (store + ecomm) and stitching performance back to customers or segments.
• Exposure to Customer segmentation, CLTV methodologies, CRM outreach measurement and loyalty program strategies.
• Proven ability to turn vague business questions into structured analysis, tests, and clear recommendations.
• Comfortable working in a modern data stack (e.g., Snowflake/BigQuery or similar) plus solid Excel/Google Sheets skills.
• High attention to detail and strong QA instincts when numbers don’t line up (digging into sources, logic, and joins).
• Clear communicator who can summarize complex analyses in concise, business-friendly language.

Preferred

• Tableau, Sigma, or similar BI tools for building self-serve dashboards and stakeholder views.
• GA4, Adobe Analytics, or similar for tying CRM performance to digital behavior and funnel metrics.
• Experience designing or interpreting incrementality tests, holdouts, or lift studies for CRM.

Benefits

• access to healthcare benefits
• 401(k) plan
• bonus
• employee discounts
• Summer Fridays (corporate roles)
• generous paid time off
• sick time
• and more.