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Quince

Senior Data Analyst - Returns

Remote US
Unreal SQL Python
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Description
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
EVERYONE SHOULD BE ABLE TO AFFORD NICE THINGS. Quality shouldn’t be a luxury. We’re proud of our mission to bring the world’s highest quality goods to people at affordable prices.

QUALITY IS MORE THAN MATERIALS. True quality is a combination of premium materials and high production standards.

WE FOCUS ON THE ESSENTIALS. From the perfect crewneck sweater to hotel quality sheets, we're all about high quality essentials that bring enjoyment to daily life.

WE’RE INNOVATING TO MAKE UNREAL PRICES A REALITY. Our uniquely developed factory-direct model lets us offer exceptionally high quality goods for much lower prices than our competitors.

ALWAYS A BETTER DEAL. We believe in real price transparency, for both our customers and factory partners. This way, everyone gets a better deal.

FAIR FACTORIES. We are committed to working with factories that meet the global standards for workplace safety and wage fairness.

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, Wish.com, D.E. Shaw, Stitch Fix, Urban Outfitters, Wayfair, McKinsey, Nike etc. 

THE IDEAL CANDIDATE
The ideal candidate is a problem solver who is excited about using data and technology to build best in class processes, technology and business. The candidate should be comfortable in a fast paced environment where the answers are not always easily available. Moreover the candidate should feel energized by an environment where decision making is intentionally distributed, speed, data and strategy are highly valued and colleagues at all levels hold each other at unusually high standards of impact on behalf of Quince’s customers and partners.

Quince is seeking a talented individual to be part of the Returns organization. In this role the candidate will help form the strategy and models to decrease returns as well as decrease the cost of returns to Quince while improving the customer experience. In order to do so they will automatically become experts on the data across the whole Quince platform and business and help decide where to invest more efforts from the team as well as build models to optimize both the customers’ and vendors’ experiences.

RESPONSIBILITIES:

  • Leverage data to build key insights for business, product and tech stakeholders
  • Automate insights generation to increase speed of decision making
  • Plan, execute and analyze key A/B tests on customers and vendors experience
  • Own strategy and development of daily, weekly and monthly dashboard for reporting within the Returns team as well as to Quince’s leadership
  • Prototype models for ad hoc analysis
  • Prototype models to improve Quince’s customers and vendors experience
  • Perform ad hoc monitoring and investigation into data and reporting issues

QUALIFICATIONS:

  • Bachelor’s degree in a quantitative discipline (e.g. Economics, Mathematics, Statistics, Engineering, Physics)
  • 5-7 years relevant experience in data analytics or data science, preferably with a focus on marketplaces or logistics
  • Strong analytical skills and the ability to to translate data into business and product insights
  • Strong proficiency in SQL
  • Strong proficiency in Python statistical packages preferred or similar language
  • Excellent written and oral communication, including the ability to communicate across business areas and with leadership
  • Ability to prioritize and deliver across multiple threads of work in a fast paced environment
  • Strong personal work ethic, including personal initiative and ownership
  • Preferred: Eastern Time Zone
Quince
Quince
E-Commerce Logistics Retail Retail Technology

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