Senior Data Analyst- Merchandising

United States, Remote

Quince

Quince brings luxury products like Mongolian Cashmere, Italian Leather, Turkish Cotton and Washable Silk to everyone at radically low prices. Shop premium essentials with no middleman.

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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 ideal candidate is a self-starter and problem-solver, skilled at leveraging technology and data to deliver top-tier analytics solutions. They thrive on addressing complex business challenges and are consistently effective in making high-judgment decisions at a rapid pace, even in the face of ambiguity and uncharted scenarios. Additionally, the ideal candidate is energized by a work environment where strategy, innovation, and decision-making are intentionally distributed, where transparency, agility, and data-driven insights are highly valued, and where colleagues at all levels hold each other to exceptionally high standards to serve Quince customers

 

RESPONSIBILITIES:

  • Pricing Analysis & Strategy:
    • Analyze historical sales data, market trends, competitor pricing, and customer behavior to develop data-backed pricing recommendations.
    • Build and maintain pricing models to evaluate the impact of different pricing scenarios and strategies.
    • Monitor pricing performance, identify anomalies, and provide actionable insights to optimize pricing decisions.
    • Collaborate with Category Managers to understand product costs, margin targets, and market dynamics to inform pricing strategies.
  • Promotion Analysis & Optimization:
    • Evaluate the performance of past and ongoing promotional campaigns, including discounts, bundles, and seasonal offers.
    • Identify opportunities to improve promotional effectiveness, target specific customer segments, and optimize promotional timing.
    • Conduct A/B testing on promotional strategies and analyze the results to inform future campaigns.
  • Reporting & Visualization:
    • Develop metrics and dashboards to track key promotional KPIs (e.g., conversion rates, average order value, incremental sales).
    • Visualize data effectively using tools like Looker, Google Data Studio to facilitate understanding and decision-making.
    • Present analytical findings and recommendations to Merchandising, Marketing, and leadership teams.
  • Data Management & Integrity:
    • Ensure the accuracy and integrity of data used for analysis.
    • Collaborate with data engineering teams to improve data collection, storage, and accessibility.
    • Develop and document data analysis processes and methodologies.

 

QUALIFICATIONS:

  • Bachelor's degree in math, science, engineering, or related field.
  • 4-7 years of experience in data analytics, preferably in an ecommerce setting.
  • Strong analytical and problem-solving skills.
  • Excellent communication and interpersonal skills.
  • Strong expertise in SQL and BI tools for analyzing large datasets, with experience in developing and maintaining dashboards to track business metrics.
  • Experience with Agile methodologies preferred.
  • Bachelor's degree in finance, accounting, economics, mathematics, statistics, or a related field is typically required.  

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$150,000—$200,000 USDQuince 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.

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Category: Analyst Jobs

Tags: A/B testing Agile Data analysis Data Analytics Data management Data Studio E-commerce Economics Engineering Finance KPIs Looker Mathematics Security SQL Statistics Testing

Perks/benefits: Startup environment

Regions: Remote/Anywhere North America
Country: United States

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