Senior Data Analyst - Storefront

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.

Ideal Candidate:

Quince is looking for a talented individual to join our eCommerce Storefront team as an Data Analyst. In this role, you will be essential in driving improving the Quince consumer experience through data-driven insights and strategic analysis. You will be responsible for turning data into actionable recommendations to boost customer engagement, increase conversions, and drive revenue growth.

Responsibilities:

• Translate data into critical insights to unlock growth across the Quince ecommerce experience
• Perform comprehensive analysis of customer behavior on the site and the conversion funnel to make recommendations and implement strategies for improvement
• Own strategy and development of daily, weekly, and monthly dashboard for reporting both within the ecommerce team and to the Quince leadership
• Serve as business owner of ecommerce data, ensure comprehensive and accurate event and data capture
• Support A/B and MV testing, methodology, results analysis, and recommendations 
• Perform ad hoc issue investigation and quantification of business impact
• Perform ROI analysis to assess the impact of different initiatives in informing the ecommerce roadmap
• Stay up-to-date on the latest ecommerce trends and technologies to identify new opportunities for growth

Requirements:

• Flexible hybrid schedule: may be required to work in Palo Alto office a few days a week 
• Bachelor’s degree in a quantitative discipline (Economics, Statistics, Engineering, Applied Mathematics) preferred
• 4+ years of relevant experience in data science or analytics role
• Experience with the consumer conversion funnel and eCommerce storefront data 
• Strong analytical skills and ability to communicate complex data
• Strong proficiency in SQL, Excel, and Looker 
• Excellent written and oral communication skills, including an ability to communicate across business areas
• Ability to prioritize and deliver on multiple threads of work in a fast-paced environment
• Strong personal work ethic, including personal initiative and ownership

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.