Customer Data Analyst
Express
Location Name Columbus Corporate Headquarters Responsibilities The Customer Data Analyst plays a critical role in understanding and improving the health of our customer file across new and existing customers. This specialist-level role focuses on analyzing customer KPIs, identifying trends in acquisition, retention, and reactivation, and evaluating the impact of product, shopping experience and marketing performance on customer behavior. This role partners closely with Marketing, Digital Media, E-Commerce, and Technology teams to translate complex data into clear, actionable reporting that drives smarter decisions and measurable business impact. KEY RESPONSIBILITIES Customer File Analytics & KPI Reporting Analyze and report on core customer file KPIs, including acquisition, retention, reactivation, frequency, spend, and lifetime value. Perform deep-dive analysis to understand the drivers behind customer trends and performance changes. Monitor customer file health over time, identifying risks and opportunities tied to product, channel, and marketing performance. Marketing & Product Performance Analysis Evaluate the effectiveness of marketing campaigns and product initiatives as they relate to customer growth and loyalty. Partner with Digital Marketing to support ecommerce and marketing analytics. Assist in identifying opportunities to improve marketing ROI and customer engagement through data-driven insights. Reporting, Dashboards & Storytelling Develop and maintain dashboards and reporting tools to track customer and marketing performance. Translate complex datasets into clear, actionable insights for marketing, merchandising, and leadership teams. Support the development of standardized reporting frameworks and recurring performance readouts. Data Integrity & Collaboration Partner with Technology and Platform teams to maintain the customer database, ensuring accuracy, consistency, and growth across online and offline channels. Ensure data integrity through validation, cleansing, and ongoing quality checks. Collaborate cross-functionally to support test-and-learn initiatives and continuous improvement. REQUIRED EXPERIENCE & QUALIFICATIONS 3-5+ years of experience in data analysis, customer analytics, or marketing analytics. Strong experience working with customer databases and large datasets. Proficiency in data extraction and analysis. Experience with Google Analytics and CRM or marketing automation platforms. Experience with data visualization and BI tools. Advanced Excel skills; familiarity with statistical analysis techniques. Experience in ecommerce or digital-first businesses; fashion retail preferred. Ability to manage multiple workstreams independently in a fast-paced environment. Strong attention to detail with the ability to communicate insights clearly to non-technical stakeholders. Bachelor’s degree in Analytics, Data Science, or a related field. MBA or advanced degree a plus. Closing If you would like to know more about the California Consumer Privacy Act clickhere. An equal opportunity employer, PHOENIX does not discriminate in recruiting, hiring or any other terms and conditions of employment hiring on the basis of any federal, state, or locally protected characteristic. PHOENIX only hires individuals authorized for employment in the United States. PHOENIX is committed to providing reasonable accommodation to individuals with disabilities. If you need an accommodation to search and apply for a job position due to a disability, please call View phone number on click.appcast.io and say 'Associate Relations' or send an e‑mail to View email address on click.appcast.io and let us know the nature of your request and your contact information. Notification to Agencies : Please note that PHOENIX does not accept unsolicited resumes or calls from third-party recruiters or employment agencies. In the absence of a signed Master Service Agreement and approval from HR to submit resumes for a specific requisition, PHOENIX will not consider or approve payment to any third-parties for hires made. #J-18808-Ljbffr
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