Sr. CRM Analyst

We are seeking a data-driven and detail-oriented Sr. Retention Analyst to join our Ecomm Analytics team. This role is ideal for someone passionate about turning data into actionable insights that influence marketing strategy customer engagement and business planning. This role will partner closely with ecommerce and the broader marketing team to identify opportunities measure performance and optimize customer lifecycle strategies through data-driven insights. The ideal candidate is both highly analytical and commercially savvy and brings a strong background in marketing performance initiatives through data modeling and reporting. 

What youll get to do: 

• Work closely with the Retention team to evaluate campaign performance identify areas for optimization and improvement throughout the buyer life cycle.  
• Assist in the design implementation and analysis of A/B tests and other test-and-learn experiments helping teams understand what drives customer engagement repeat purchase behavior and loyalty. 
• Leverage Customer Data Platform (CDP) data to uncover meaningful consumer insights such as behavioral patterns channel preferences and engagement trends that inform targeting and personalization strategies. 
• Provide analytical support for channel planning and investment decisions delivering insights on ROI customer lifetime value and conversion drivers to inform marketing strategy and budget allocation. 
• Develop and maintain dashboards in collaboration with the central data team to track customer segments repeat rates shopping cycles churn risks and other high impact KPIs. 
• Design and execute segmentation strategies to personalize marketing campaigns and improve retention metrics. 
• Partner with CRM Email and Digital Marketing teams to test and measure lifecycle initiatives promotions and conversion strategies while identifying improvement opportunities across product experience and messaging enhancements. 
• Create clear compelling reporting and dashboards to track customer behavior campaign performance and retention trends. 
• Collaborate with data science ecommerce and merchandising to integrate retention insights into assortment planning and marketing calendars. 

Qualifications :

Who you are:

• Bachelors degree in data science statistics marketing analytics economics or related field and/or equivalent years of experience preferred.  
• 7 years of relevant experience in data analysis  
• Strong proficiency in SQL and Excel for data extraction and manipulation. 
• Experience using MicroStrategy PowerBI Tableau or similar BI tools for data visualization and dashboard development. 
• Knowledge of CDPs and how to leverage those systems to explore consumer data measure results and track consumer journeys. 
• Excellent analytical thinking with a strong attention to detail. 
• Ability to clearly communicate complex findings to cross-functional stakeholders. 
• Experience with an Omni Channel DTC business preferably in the apparel space.  
• Familiarity with media and marketing platform data and KPIs  media agency experience a plus. 
• Exposure to statistical modeling techniques for scenario planning and consumer segmentation. 
• Understanding of marketing funnels customer lifecycle metrics and segmentation strategies. 

Additional Information :

Our investment in you:

At Vuori were proud to offer the following to our employees: 

• Health Insurance 
• Savings and Retirement Plan  
• Employee Assistance Program 
• Generous Vuori Discount & Industry Perks 
• Paid Time Off  
• Wellness & Fitness benefits  

The salary range for this role is $100900 - $129780 per year. 

Vuori is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex gender identity sexual orientation race color religion national origin disability protected Veteran status age or any other characteristic protected by law.  

All your information will be kept confidential according to EEO guidelines.

Remote Work :

No

Employment Type :

Full-time