Staff Data Analyst - Retention

Posted 2 Days Ago
Hiring Remotely in United States
Remote
100K-250K Annually
Senior level
Retail
The Role
The Staff Data Analyst - Retention will analyze customer behaviors to improve retention, evaluate marketing campaign performance, and develop insights on customer lifecycle. Responsibilities include building attribution models, optimizing marketing spend, creating customer segments, and testing strategies to enhance customer loyalty and lifetime value. This role requires collaboration with marketing, product, and data science teams to align retention strategies with business goals.
Summary Generated by Built In

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 Staff 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.
  • Lead assessing and optimizing 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.
  • Drive conversations with product partners to shape the product analytics roadmap.

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.
  • 7+ 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 with established cross functional leadership. 
  • 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

$100,000$250,000 USD

Quince 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 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.

Top Skills

Python
R
SQL
The Company
HQ: San Francisco, CA
137 Employees
On-site Workplace
Year Founded: 2018

What We Do

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

We did this by revising every part of a traditional retailer's playbook. We cut out all the middlemen and managed every element of the item's creation ourselves, including packaging and transportation.

The end result: Quince goods are incredibly high quality, made in a sustainable way, and sold at radically lower prices. We hope you’ll compare our products with any premium branded ones, and see why our customers rate Quince so highly.

Quince has raised $65 MM from Insight, Founders Fund, 8VC, Basis Set Ventures., and Luggard Road.

Similar Jobs

CertifID Logo CertifID

Data Verification Specialist

Real Estate • Security • Software • Cybersecurity • PropTech
Easy Apply
Remote
United States
103 Employees

Atlassian Logo Atlassian

Principal Machine Learning System Engineer

Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Remote
Seattle, WA, USA
11000 Employees
190K-306K Annually

Capital One Logo Capital One

Sr Business Analyst, Revenue Modeling Analyst - Capital One Shopping (Remote-Eligible)

Fintech • Machine Learning • Payments • Software • Financial Services
Remote
Hybrid
New York, NY, USA
55000 Employees
97K-131K Annually

Capital One Logo Capital One

Sr Business Analyst, Revenue Modeling Analyst - Capital One Shopping (Remote-Eligible)

Fintech • Machine Learning • Payments • Software • Financial Services
Remote
Hybrid
McLean, VA, USA
55000 Employees
97K-131K Annually

Similar Companies Hiring

Sandbox VR Thumbnail
Virtual Reality • Retail • News + Entertainment • Gaming • Events
US
1000 Employees
Optimum Thumbnail
Software • Retail • Mobile • Marketing Tech • Internet of Things • Digital Media • AdTech
Long Island City, NY
9000 Employees
Grocery TV Thumbnail
Software • Retail • Marketing Tech • Hardware • Digital Media • AdTech
Austin, TX
45 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account