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Customer Relationship Management Analyst

Job in Santa Fe Springs, Los Angeles County, California, 90670, USA
Listing for: Windsor Fashions
Full Time position
Listed on 2026-02-17
Job specializations:
  • IT/Tech
    Digital Marketing, Data Analyst, Data Science Manager, Ecommerce
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Our mission is to create an oasis that inspires and empowers women—and that mission comes to life every day in our US, Canada and Puerto Rico retail locations, distribution center, and corporate offices. We’re a team that works hard, has fun together, and holds integrity as non‑negotiable. Collaboration is rooted in respect for our caring, loyal Windsor family, where every voice matters and continuous improvement is part of our DNA.

We take pride in doing more with less, planning in thoughtful detail, and always listening with a smile—because creating value and making our customers happy is at the heart of everything we do.

At Windsor, high‑quality performance is expected, and all job duties must be carried out safely, ethically, and in accordance with company standards. This role requires active support of the company’s Mission Statement and Core Values through both individual contributions and teamwork in pursuit of company goals. Team members are expected to maintain professionalism while complying with all company policies, procedures, work rules, and guidelines.

Summary

You will play a pivotal role in developing and activating Windsor’s customer database to drive meaningful business growth. This role is responsible for analyzing customer behavior, uncovering actionable insights, and translating data into strategies that improve engagement and performance across digital and brick‑and‑mortar storefronts. You will build and maintain a suite of customer reports and dashboards, identify patterns that influence conversion across all channels, and surface opportunities to increase lifetime value, retention, and purchase frequency, with the goal of creating a singular customer view.

Through a test‑and‑learn mindset, you will support rapid experimentation and optimization, helping shape a seamless, data‑driven omni‑channel customer experience.

Key Responsibilities
  • Own the quality, governance, and activation of customer and digital data across all channels (stores, e‑commerce, app, and emerging social commerce), ensuring accurate tracking, automated reporting, and scalable analytics.
  • Integrate multiple data sources to deliver a unified, cross‑channel view of the customer, with clearly defined KPIs spanning digital, retail, and social commerce touchpoints.
  • Lead CRM and customer analytics for weekly business reviews and executive dashboards, translating omnichannel performance trends into actionable recommendations.
  • Partner with CRM, marketing, and retail teams to measure and optimize personalization, lifecycle, and loyalty initiatives across the full customer journey.
  • Develop and maintain customer profiles and behavioral segmentations using lifecycle, transactional, and engagement data across channels (e.g., RFM, lapsed, high‑value).
  • Drive customer‑centric marketing strategies that increase retention, lifetime value, cross‑sell, and re‑engagement across owned, paid, and in‑store channels.
  • Conduct advanced analyses including web, app, retail, and media performance; cross‑channel behavior; customer lifetime value; ROI; and experimentation results.
  • Collaborate cross‑functionally to design and execute a test‑and‑learn experimentation framework that continuously optimizes the omni‑channel customer experience by channel and device.
  • Build measurement frameworks that connect online and social engagement to offline behavior, quantifying the impact of digital and social commerce activity on e‑commerce and store sales.
  • Translate complex, cross‑channel data into clear, compelling insights for non‑technical stakeholders to support strategic and commercial decision‑making.
Qualifications
  • Bachelor’s Degree or similar expertise and experience required
  • Demonstrated experience conducting in‑depth analysis of various marketing channels, including but not limited to, email, organic social, paid social/digital, SEM/SEO, and retail stores etc.
  • Strong analytical and data visualization skills
  • Experience with Aptos and Alteryx; experience with other CRM products a plus
  • Data management utilizing SQL or Python
  • 5+ years of marketing analyst experience in a dynamic, data‑driven environment, preferably in fashion retail
  • Strong computer skills…
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