Data Analyst, Growth Marketing & Revenue

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 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 retention efforts to the next level.

As part of our Data Science team, you will report to the Sr. Manager of Finance Analytics and work cross-functionally to extract insights about the performance of our marketing and promotional efforts and help to design a delightful experience for users from the very first touchpoint.

You’ll also be involved in diagnosing beats and misses to projected revenue and forecasting future performance. 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

Thoughtfully design sales to maximize item-level profit and buyer conversion rates

Work closely with the Revenue Org, UX Research, and Engineering to advance our loyalty program and enhance the user experience

Work with Data Engineering to surface key data points and create and maintain KPI dashboards on marketing and business performance to support team decision making

Work with the Sr. Manager of Finance Analytics to make data-driven monthly, quarterly and yearly revenue forecasts while informing Spend Strategy

Conduct in-depth analysis of marketing campaigns, channel performance, including A / B testing, ROI and spend analysis, and more, to identify trends, patterns, and opportunities for optimization

Develop and maintain marketing dashboards in looker and reports to track marketing, campaign, and channel performance and identify areas for improvement

Analyze internal marketing channel and performance data in addition to leading macroeconomic indicators to provide actionable insights that optimize marketing strategies and drive business growth

What We’re Looking For

3+ years of professional experience in an analytical role

Prior experience working in B2C marketing analytics (especially Performance Marketing)

A desire for deep understanding of how things work and what can be made better

Experience deriving insights from complex data and make recommendations that drive meaningful business impact

Experience working with performance marketers, marketing analytics tools, and performance marketing analysis

Experience communicating 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

Experience with Databricks a plus

Familiarity with business intelligence tools like Looker 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

Experience collaborating across disciplines and teams to drive projects to completion

Experience embracing change and thrive in a fast-paced environment

At thredUP, your base pay is one part of your total compensation package. This role pays between $130,000 and $140,000, and your actual base pay will depend on your skills, qualifications, and experience.

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