Data Analyst - Product

About ThredUp

ThredUp is transforming resale with technology and a mission to inspire the world to think secondhand first. By making it easy to buy and sell secondhand, ThredUp has become one of the world's largest online resale platforms for apparel, shoes and accessories. Sellers love ThredUp because we make it easy to clean out their closets and unlock value for themselves or for the charity of their choice while doing good for the planet. Buyers love shopping value, premium and luxury brands all in one place, at up to 90% off estimated retail price. Our proprietary operating platform is the foundation for our managed marketplace and consists of distributed processing infrastructure, proprietary software and systems and data science expertise. With ThredUp’s Resale-as-a-Service, some of the world's leading brands and retailers are leveraging our platform to deliver customizable, scalable resale experiences to their customers. ThredUp has processed over 172 million unique secondhand items from 55,000 brands across 100 categories. By extending the life cycle of clothing, ThredUp is changing the way consumers shop and ushering in a more sustainable future for the fashion industry.

Recognized on TIME Most Influential Companies of 2023, Digiday's WorkLife 50 2023, TIME's Best Inventions of 2022, and Lattice's People Success Awards 2022.

How You'll Make An Impact:

As a Data Analyst, you'll employ your data storytelling skills to collaborate with both product and business teams, delivering insights and guiding key decisions. Reporting to the Director of Product Data Science, your focus will be on guiding product and growth features that will bring delight to our customers. As an integral member of our Product Data Science and Analytics team, you'll have ownership over substantial portions of our customer experience data. Your insightful analyses will be key inputs guiding product and business strategy.

In This Role You’ll Get To:

• Bridge the gap between product data analytics and data science by contributing to projects that enhance customer experience and business outcomes.
• Design, analyze, and interpret experiments to inform product and business decisions.
• Perform in-depth exploratory data analysis, generating actionable insights that drive strategic and tactical decisions.
• Collaborate with Product Managers, Engineers, and other Data Scientists to improve existing algorithms, build prototypes, and deploy solutions.
• Use statistical methods and machine learning techniques to forecast trends and uncover opportunities for growth and efficiency.
• Develop and maintain dashboards and reporting tools to provide transparency and guide decision-making across teams.
• Participate in improving data systems and processes to increase efficiency and access to insights.
• Deliver high-quality analyses that inform product decisions and enhance customer experiences.
• Support cross-functional teams with your insights and tools to make data-driven decisions.
• Build and maintain systems that improve team efficiency and provide actionable insights.
• Actively contribute to a culture of learning and collaboration, helping elevate the capabilities of the team.
  
  

What We’re Looking For:

• 3+ years of relevant experience in product analytics, data science, or a related field.
• Proficiency in SQL and experience with a programming language such as Python or R.
• Strong analytical and problem-solving skills, with a solid understanding of statistics and experimentation techniques (e.g., A/B testing).
• Experience working with visualization tools like Looker, Tableau, or similar platforms.
• Ability to translate ambiguous business questions into clear, quantifiable data analyses and communicate findings effectively to both technical and non-technical stakeholders.
• A growth-oriented mindset, eager to learn and apply new skills while sharing knowledge with the team.
• Experience working with both web and mobile data platforms, with an interest in understanding user behavior across different channels.
  
  

At ThredUp, your base pay is one part of your total compensation package. This role pays between $125,000 and $145,000, and your actual base pay will depend on your skills, qualifications, experience, and location.

Many ThredUp employees also have the opportunity to own shares of ThredUp stock. ThredUp employees are eligible for discretionary restricted stock unit awards, as well as a discount when purchasing ThredUp stock if voluntarily participating in ThredUp’s Employee Stock Purchase Plan. Subject to eligibility requirements, you’ll also receive other benefits: Comprehensive medical & dental coverage, vision, 401k, life and disability insurance.

This role is not eligible for visa sponsorship.

What We Offer:

• 4-day work week, with Fridays off
• Hybrid work environment: 3 days in the office and 1 day remote each week
• Competitive salary (we leverage market data)
• Many ThredUp employees also have the opportunity to own shares of ThredUp stock and are eligible for discretionary restricted stock unit awards
• Employee stock purchase plan
• Flexible PTO (take the time you need) + 13 company holidays
• Paid Sabbatical after 3 years of full time employment
• Generous paid parental leave for new mothers and fathers
• Medical, dental, vision, 401k, life and disability insurance offered
• We live by our Core Values of Transparency, SpeakingUP, Thinking Big, Infinite Learning, Influencing Outcomes & Seeking the Truth
  
  

We believe diversity, inclusion and belonging is key for our team

At ThredUp, our mission has been built on extending the lives of millions of unique clothing items. Much like our inventory, we are proud to have fostered a workplace that is one-of-a-kind. As a company focused on diversity, inclusion and belonging, we are committed to ensuring our employees are comfortable bringing their authentic selves to work every day. A unique perspective is critical to solving complex problems and inspiring a new generation to think secondhand first. Be you.

If you are a candidate with a disability and have a reasonable accommodation request for the job application process, please email [email protected] the specific details of your disability related accommodation request. This email address is reserved for candidates with disabilities only. General application inquiries will not receive a response.