About Rent the Runway:

Rent the Runway is disrupting the $1.7 trillion global fashion industry by introducing clothing rental as a utility in women’s everyday lives and empowering women to feel like their best selves everyday. We have pioneered the Closet in the Cloud and believe that every person globally will soon have a subscription to fashion. Since our launch in late 2009, we have raised $190M from top-tier investors and built one of the most beloved brands on earth. We are proud to be both a profitable and high-growth business, with a loyal 6MM-strong customer base who share the experience of renting as being empowering and smart.

Our 1000+ employees have a revolutionary spirit that permeates our culture. We’ve built - proprietary technology, a one-of-a-kind reverse logistics operation, stores of the future, a viral brand, relationships with hundreds of fashion brands - and we are obsessed with continuing to game change our customer experience. We are also trying to revolutionize entrepreneurship itself - proving that diverse teams produce outsized impact. The Rent the Runway Foundation, which our two co-founders launched together in 2015, helps tens of thousands of female entrepreneurs build and scale their own businesses with the mission of founders more clearly representing the demographics of this country.

Responsibilities:

• Apply expertise in quantitative analysis and data mining to see beyond the numbers and extract actionable insights on how our customers use our service and derive value
• Develop a deep understanding of the loyalty behavior of our customers. Work collaboratively with Product, Engineering and Marketing teams to develop and measure existing/new rental programs that motivate repeat usage and normalizes rental as part of our users’ lives
• Develop a deep understanding of price sensitivity of our users for various rental consumption models. Execute and measure impact of surgically changing pricing on our entire catalog
• More broadly, design and evaluate experiments that impact user behavior. Diagnose and communicate root causes of changes in user behavioral metrics
• Develop and share best operating practices within the Analytics team

Requirements:

• Bachelor’s degree in Computer Science, Physics, Mathematics, Statistics, Economics or related technical field. Advanced degrees and specialization even better.
• 3+ years experience doing quantitative analysis.
• High proficiency in databases (e.g: MySQL) and query languages (e.g: SQL)
• Experience with Tableau (reporting suite) and scripting languages (e.g: Python) preferred
• Experience with using packages like R to perform deeper analyses also a plus
• Passion for data and its fundamental ability to create value