Data Analyst (Growth Marketing)
Oakland, CA
thredUP
thredUP is an online consignment and thrift store where you can buy and sell high-quality secondhand clothes. Find your favorite brands at up to 90% off.About thredUPIn 2009, thredUP set out to make used clothes the new normal and create a more sustainable future for fashion. The company designed a modern resale experience that took the work and risk out of thrift, and converted a generation of secondhand skeptics to fans. Sellers send clothes directly to thredUP by the bagful, and buyers shop quality-checked items from over 35,000 brands at steep discounts. To power this marketplace, thredUP built an infrastructure that has recirculated 100 million unique garments via proprietary technology, data and logistics. thredUP most recently expanded its platform with Resale-as-a-Service (RaaS) to power resale for the world’s leading fashion brands. As a circular fashion pioneer, thredUP is reducing fashion’s impact on the planet and unlocking economic value for consumers and brands alike.
How You Will Make An Impact At thredUP, we’re working to revolutionize the clothing industry and we’re looking for a results-driven Data Analyst who can dive into our data and help bring our acquisition and growth efforts to the next level. As part of our Data Science team, you will report to the Data Analytics Manager and work cross-functionally to extract insights about the performance of our marketing efforts and help to design a delightful experience for users from the very first touchpoint. You’ll also be involved in our growth marketing efforts to help us scale efficiently. If you get excited about data-driven decision making, we’d love to hear from you.
In This Role, You'll Get To:
- Analyze marketing channel efficiencies to ensure we are taking the right calculated risks
- Provide insights that will help guide our attribution methodology and enhance our understanding of customer lifetime value
- Work closely with Marketing, Product, Data Science, and Engineering to build site features, advance our notification strategy, and enhance the user experience
- Work with Data Engineering to surface key data points and create and maintain KPI dashboards on marketing performance to support team decision making
What We're Looking For:
- Bachelor’s degree in a quantitative discipline, or completion of a data science bootcamp
- At least two years of professional experience in an analytical role
- Marketing experience preferred
- A desire for deep understanding of how things work and what can be made better
- Ability to derive insights from complex data and make recommendations that drive meaningful business impact
- Ability to communicate insights clearly to all levels of the organization
- Fluent in SQL and advanced proficiency with Excel / Google Sheets, and knowledge of a programming language such as Python, R, or Spark
- Familiarity with business intelligence tools like Looker and Amplitude or similar
- Well-rounded skill set that includes some of each of the following statistical analysis techniques: linear regression, time series analysis, experimental design, hypothesis testing, and A/B testing
- Ability to collaborate across disciplines and teams to drive projects to completion
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.
*Please note that our thredUP team is currently working remotely, however, this role will be expected to report to our Oakland location once we are safely able to return to the office.
Tags: A/B testing Amplitude Business Intelligence Data Analytics Engineering Excel Looker Python R Spark SQL Testing
Perks/benefits: 401(k) matching Career development Competitive pay Flex hours Flex vacation Gear Health care Insurance Medical leave Paid sabbatical Parental leave Transparency
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