Sr. Data Analyst - Retention

OUR STORY

Quince was started to challenge the existing idea that nice things should cost a lot. Our mission was simple: create an item of equal or greater quality than the leading luxury brands and sell them at a much lower price. 

OUR VALUES

Customer First. Customer satisfaction is our highest priority.

High Quality. True quality is a combination of premium materials and high production standards that everyone can feel good about.

Essential design. We don’t chase trends, and we don’t sell everything.  We’re expert curators that find the very best and bring it to you at the lowest prices.

Always a better deal. Through innovation and real price transparency we want to offer the best deal to both our customers and our factory partners.  

Environmentally and Socially conscious.  We’re committed to sustainable materials and sustainable production methods. That means a cleaner environment and fair wages for factory workers.

OUR TEAM AND SUCCESS 

Quince is a retail and technology company co-founded by a team that has extensive experience in retail, technology and building early stage companies. You’ll work with a team of world-class talent from Stanford GSB, Google, D.E. Shaw, Stitch Fix, Urban Outfitters, Wayfair, McKinsey, Nike etc.

THE IDEAL CANDIDATE:

The Retention Data Analyst will be instrumental in understanding customer behavior, identifying opportunities to improve retention, and developing insights to drive loyalty. You’ll work closely with the marketing, product, engineering and data science teams to provide insights on customer lifecycle, segmentation, and retention campaigns. Your ability to analyze complex datasets, uncover trends, and recommend actionable strategies will be key to driving customer loyalty and lifetime value.

Responsibilities:

• Conduct in-depth analyses of customer cohorts and behaviors to identify trends in retention, churn, and lifecycle stages.
• Evaluate the performance of retention marketing campaigns offering insights to optimize customer engagement and retention rates.
• Build and continuously enhance multi-touch attribution models to accurately measure the effectiveness of marketing channels and campaigns. Leverage statistical techniques and data insights to improve model accuracy.
• Assess and optimize marketing spend targeting existing customers to drive incrementality and use paid marketing to “bend” the retention curve. 
• Develop customer segments based on behavior, purchasing patterns, and demographics to enable targeted and personalized retention strategies.
• Work with data science teams to build and maintain churn prediction models, proactively identifying at-risk customers and proposing retention strategies.
• Work with data science teams to test and enhance product recommendation algorithms to get the right products in front of the right customers. 
• Analyze and monitor CLV metrics across segments to understand the long-term impact of retention initiatives.
• Create and maintain dashboards and reporting systems to provide real-time insights on retention metrics for cross-functional teams.
• Design and analyze A/B tests and multivariate experiments for retention campaigns, ensuring initiatives are data-driven and have measurable impact.
• Partner with product, customer service, and marketing teams to align retention strategies with broader business goals and insights.

Requirements

• Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Data Science, Engineering or similar). A Master or PhD degree is a plus.
• 6+ years of experience in data analytics, with a focus on growth, customer retention, life cycle analysis, or CRM analytics within an e-commerce or subscription-based business.
• Proficiency in SQL and BI tools (e.g., Looker, Tableau, Power BI).
• Knowledge of statistical methods, including A/B testing and cohort analysis; familiarity with Python or R is advantageous.
• Strong business and analytical mindset, with a demonstrated ability to interpret data and draw actionable insights that drive customer retention.
• Excellent ability to communicate insights and recommendations to both technical and non-technical stakeholders.
• Ability to manage multiple projects simultaneously in a dynamic, fast-paced environment.
• Experience with retention metrics such as CLV, CAC, and churn rate, and familiarity with predictive modeling techniques.
• Knowledge of customer lifecycle management and engagement strategies in e-commerce or DTC businesses.

Security Advisory: Beware of Frauds

At Quince, we're dedicated to recruiting top talent who share our drive for innovation. To safeguard candidates, Quince emphasizes legitimate recruitment practices. Initial communication is primarily via official Quince email addresses and LinkedIn; beware of deviations. Personal data and sensitive information will not be solicited during the application phase. Interviews are conducted via phone, in person, or through the approved platforms Google Meets or Zoom—never via messaging apps or other calling services. Offers are merit-based, communicated verbally, and followed up in writing. If personal information is requested to initiate the hiring process, rest assured it will be through secure and protected means.