Hybrid Sr. Data Analyst - Retention 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 EVERYONE SHOULD BE ABLE TO AFFORD NICE THINGS. Quality shouldn't be a luxury. We're proud of our mission to bring the world's highest quality goods to people at affordable prices.QUALITY IS MORE THAN MATERIALS. True quality is a combination of premium materials and high production standards.WE FOCUS ON THE ESSENTIALS. From the perfect crewneck sweater to hotel quality sheets, we're all about high quality essentials that bring enjoyment to daily life.WE'RE INNOVATING TO MAKE UNREAL PRICES A REALITY. Our uniquely developed factory-direct model lets us offer exceptionally high quality goods for much lower prices than our competitors.ALWAYS A BETTER DEAL. We believe in real price transparency, for both our customers and factory partners. This way, everyone gets a better deal.FAIR FACTORIES. We are committed to working with factories that meet the global standards for workplace safety and wage fairness.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.

We rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. Bonus eligibility varies by role and is determined based on the position's impact and contribution to our strategic goals.Pay Range$80,000—$200,000 USDQuince provides equal employment opportunities to all employees and applications for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran or military status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.Security Advisory: Beware of FraudsAt 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.