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 a Performance Marketing Data Analyst, you’ll play a critical role in measuring, analyzing, and optimizing our marketing campaigns. You’ll work closely with our performance marketing, data, and product teams to deliver data-driven insights and strategic recommendations. Your expertise in analyzing large datasets, interpreting trends, and translating them into actionable insights will help us make smarter, faster, and more effective marketing decisions.
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 Qualifications:
- 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.
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 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
Similar Jobs
What you need to know about the Austin Tech Scene
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
