thredUP is the largest online marketplace for secondhand clothing. We make buying and selling a cinch for millions of women across the globe. The company resells more than 35,000 brands across hundreds of categories at up to 90% off the estimated retail value. Headquartered in downtown San Francisco and backed by world-class investors, thredUP is reinventing the secondhand clothing industry and inspiring a new generation of consumers to think secondhand first.
About the Role
At thredUP, we’re working to revolutionize the clothing industry and we're looking for an experienced Business Intelligence engineer to help grow the foundation of our data warehouse and Business Intelligence infrastructure., You will work in a highly collaborative environment of data engineers, data analysts, domain experts and business leaders to deliver data solutions that alter how the secondhand clothing industry is perceived. If you are excited by recent developments in cloud data technologies and the ability to solve complex problems with an engineering team that is passionate about our culture, the quality of our code, and building a successful company, we'd love to hear from you.
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
Ability to 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
Well organized and able to manage multiple projects in a fast-paced demanding environment
3+ years of 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
Bachelor's or Master’s degree in computer science, information systems, or a related technical discipline
Experience with AWS Data technologies (such as Redshift, S3,Glue, and Kinesis)
Familiarity with Python or any other scripting language
Excellent communication and problem solving skills
(Bonus) Experience with Spark, Hadoop or other Big Data technologies.
Bonus) Experience working in a e-commerce industry
thredUP is the nation's leading online marketplace for women's and kids' like-new apparel. Over 25,000 brands, ranging from Gap to Gucci, are listed on thredUP.com at prices up to 90 percent off retail.