Data Analyst


Job Overview

At Everlane, we want the right choice to be as easy as putting on a great T-shirt. That’s why we partner with ethical factories around the world. Work with high quality and more sustainably sourced materials. And share the true cost of every product we make. But there’s a lot more work to be done, and we’re excited to be growing a team of motivated humans that are up for the challenge.

Everlane is seeking a Data Analyst to join our Data and Analytics team, where you’ll use data to optimize our core operations, understand the levers behind company growth, and identify areas of opportunity for our products.

As a team, we lean on a full-stack set of methodologies and tools to solve these problems, taking a data science problem from an initial open ended question to the eventual business implementation of a model. This role will be focused on some of Everlane’s most critical optimization areas such as margin, supply chain, and retail.

Your day-to-day:

  • Work with business stakeholders to design robust metrics and self service reporting around key questions
  • Ensure the integrity of the vast data sources feeding our analytics
  • Provide timely insights and recommendations to support decision making at the senior leadership level
  • Research and develop new levers of operational efficiency, especially in areas of supply chain and retail 
  • Prototype predictive models around fulfillment SLAs, store growth, and transportation costs
  • We’d love to hear from you if you have:

  • BA/BS in a quantitative or computing focused degree, or equivalent bootcamps/professional programs
  • 2+ years of experience wrangling and analyzing large datasets to solve open ended problems, or a Masters degree in a quantitative field
  • Proficiency in R or Python, with an emphasis on data manipulation and visualization
  • Proficiency in SQL, including window functions and subqueries
  • Strong fundamentals in statistics and probability, including formal statistical modeling and experimental design
  • Adept communicator, especially when distilling complex concepts for a general audience
  • Nice to have: experience with software engineering concepts such as version control and cloud services 
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