Senior Data Analyst
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:
As Senior Data Analyst, you will provide insights through the analysis of the vast amount of data captured by Quince. You will develop actionable strategies that will help us create best-in-class buyer experience, and help us allocate marketing resources to activities that yield the best results. The successful candidate will possess a passion for innovative analysis, processes that scale, and the tenacity to develop findings and recommendations that transcend the numbers.
RESPONSIBILITIES:
- Perform comprehensive analysis of eCommerce metrics (e.g., traffic, site performance, email capture, conversion funnel, cross-sale/up sale, user engagement, etc.) to make recommendations and strategies for improvement
- Systematically analyze funnel across categories/franchises, assortment, landing pages, traffic sources (marketing platforms and campaigns) and make actionable recommendations for improvement with an intent of developing automation solution
- Serve as business owner of marketing and and web analytics data, Identify gaps in current data capture strategy to create an improvements roadmap that can support future digital product roadmap effectively.
- Utilize data insights to inform the development of A/B and multivariate tests (including developing a hypothesis, influencing creativity, identifying success metrics, and analysis) that drive improvement of key website, mobile, and customer metrics. Assist in prioritizing tests based on their size of the business impact
- Ad hoc issue investigation and quantification of business impact
- Create and maintain daily, weekly, and monthly e-commerce reports and dashboards, tracking key metrics and flagging any trends or performance issues.
REQUIREMENTS:
- An undergraduate degree in a quantitative discipline (Economics, Statistics, Engineering, Applied Mathematics)
- 4-6 years of professional experience in online marketing, e-commerce, or equivalent role with an analytical bend, preference to ecommerce web analytics experience, and prior consulting experience
- Ability to conceptualize business problems and solving them through data analysis
- Excellent written and oral communication skills, including an ability to communicate across business areas
- Ability to prioritize and delivery on multiple threads of work in a fast-paced environment
- Proficient in basic hypothesis testing framework and comfortable using statistics basic in all data analysis
- Strong personal work ethic, including personal initiative and ownership
- Preferable background in marketing analytics
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.
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