thredUP is transforming resale with technology and a mission to inspire a new generation of consumers to think secondhand first. By making it easy to buy and sell secondhand, thredUP has become one of the world’s largest resale platforms for women’s and kids’ 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. In 2018, we extended our platform with thredUP’s Resale-As-A-Service (RaaSⓇ), which facilitates modern resale for a number of the world’s leading brands and retailers. thredUP has processed over 125 million unique secondhand items from 35,000 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.

In This Role You’ll Get To:

• Designing, implementing and maintaining data warehouse/ business intelligence solutions which will handle growing business needs
• Translate business questions and concerns into specific quantitative questions that can be answered with available data using sound methodologies. In cases where questions cannot be answered with available data, work with engineers to produce the required data.
• Automate, optimize, and maintain ETL flows in a repeatable, scalable manner
• Handle and respond to ad-hoc data support/analytical requests
• Explore/analyze data and work with Marketing Managers, Data Scientists, and Product Managers to understand customer behaviors, performance and benchmark performance metrics

What We’re Looking For:

• Solid experience in data modeling, ETL, data warehousing, and transformation of large scale data sources using SQL, Redshift, or other Big Data technologies.
• Proficiency with analytical SQL and knowledge of how to optimize and troubleshoot
• BI Reporting experience with tools such as Looker or Tableau
• Experience with AWS Data technologies (such as Redshift, S3, Glue)
• Experience with orchestration tools like Airflow
• Working experience with Python for Data processing.
• Bachelor’s or Master’s degree in computer science, information systems, or a related technical discipline
• Well organized and able to manage multiple projects in a fast-paced, demanding environment
• (Bonus) Experience with Databricks Spark, Delta Lake, Hadoop, or other Big Data technologies.
• (Bonus) Experience working in an e-commerce industry

- 4-day work week with Fridays off

- Competitive salary (we leverage market data) + stock

- Employee stock purchase plan

- Flexible PTO (take the time you need) + 13 company holidays (US offices)

- 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 

- Voted “50 Most Innovative Companies of 2020”

- RaaS - Finalist in Fast Company’s World Changing Ideas Awards 2021

- 2021 FORTUNE Change the World Finalist

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.