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:

• Analyze marketing data across channels (e.g., paid search, social, display, email, affiliate) to evaluate performance, identify trends, and optimize spending and ROI.
• Work closely with the performance marketing team to provide data-driven insights and optimize campaigns to achieve KPIs (e.g., ROAS, CAC, LTV).
• Contribute to marketing mix modeling efforts to understand the incremental impact of each marketing channel on conversions and customer acquisition.
• Develop data-driven forecasts, budgets, and projections for marketing campaigns; continuously update based on real-time data and performance.
• Conduct deep-dive analysis on customer behavior, attribution, and path-to-purchase to identify opportunities for increased conversion and customer retention.
• Build and maintain performance dashboards to provide real-time insights for marketing teams and leadership.
• Design and analyze A/B tests to optimize ad creatives, targeting, and bidding strategies across platforms.
• Partner with product, finance, and data science teams to ensure alignment and leverage insights across the organization.

REQUIREMENTS:

• Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Data Science, or similar). Master’s degree is a plus.
• 5+ years in a data analytics role, ideally with a focus on performance or digital marketing within an e-commerce or technology company.
• Proficiency in SQL and data visualization tools (e.g., Tableau, Looker, Power BI).
• Knowledge of statistical analysis and A/B testing; familiarity with Python or R is a plus.
• Ability to interpret complex data and translate it into actionable insights, with a focus on detail, accuracy, and clarity.
• Excellent verbal and written communication skills, with the ability to present data insights and recommendations effectively to both technical and non-technical audiences.
• Demonstrated ability to manage multiple projects and prioritize in a fast-paced, dynamic environment

Preferred or Nice-to-Have:

• Experience in e-commerce or consumer brands with a strong emphasis on customer acquisition and digital marketing.
• Familiarity with marketing attribution models and experience in customer segmentation techniques.
• An understanding of marketing mix modeling (MMM) and media planning concepts.
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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.