Analyst, Loyalty & CRM

Skechers•Manhattan Beach, CA

About The Position

The Analyst, Loyalty & CRM Analytics helps improve customer retention, repeat purchases, and lifetime value across Skechers digital and retail channels by turning customer and behavioral data into actionable insights and recommendations. This role supports CRM and loyalty performance measurement, customer segmentation, and testing initiatives to help improve engagement, retention, and overall customer value. The individual works closely with Loyalty, CRM, Marketing, Product, Merchandising, and Analytics teams to support a more data-driven approach to customer growth. The ideal candidate is analytical, curious, customer-focused, collaborative, and comfortable working with data to solve business problems. Interest in e-commerce, customer behavior, loyalty programs, and AI-driven personalization is a plus.

Requirements

Experience with GA4, CRM platforms, and customer reporting tools.
Basic understanding of A/B testing and customer segmentation.
Strong analytical, communication, and organizational skills.
Bachelor’s degree in business, analytics, statistics, economics, or related field.
2–4 years of experience in CRM analytics, customer analytics, loyalty, or e-commerce analytics.

Nice To Haves

Familiarity with AI-driven personalization, customer engagement tools, or modern analytics workflows is a plus.

Responsibilities

Monitor customer lifecycle performance including acquisition quality, repeat purchase behavior, retention, and customer lifetime value.
Analyze customer behavior and identify opportunities to improve retention, engagement, and profitability.
Support analysis of promotional effectiveness and customer response trends.
Support A/B testing, holdout testing, and incrementality analysis for CRM and loyalty campaigns.
Help develop testing plans, success metrics, and recommendations based on campaign performance.
Partner with CRM and Loyalty teams to improve targeting, messaging, and customer engagement strategies.
Document learnings and support ongoing optimization efforts.
Help build customer segments based on purchase behavior, engagement, and lifecycle stage.
Identify high-value and high-potential customer groups and provide actionable recommendations.
Analyze customer behavior trends related to retention, churn, and engagement.
Support omni-channel customer journey analysis using CRM and customer data platforms.
Support weekly and monthly CRM and loyalty performance reporting.
Present insights and recommendations clearly to business stakeholders.
Partner with teams across Digital, Marketing, Product, Merchandising, Retail, and Analytics to improve customer experiences and business outcomes.
Help promote a test-and-learn culture across CRM and Loyalty teams.