Data Analyst

Location : San Francisco, CA

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

  • Explore, vet, and productionize brand new datasets

  • Provide timely insights to support decision making up to the senior leadership level

  • Research and identify new levers driving operational efficiency in our supply chain

  • Prototype predictive models around areas such as transportation cost and retail allocation

We'd love to hear from you if you have:

  • BA/BS in a quantitative or computing focused degree

  • 3+ years of work experience, with at least two years industry experience wrangling and analyzing large datasets to solve open ended problems

  • Proficiency in R or Python, with an emphasis on data manipulation and visualization

  • Proficiency in SQL, especially in translating business or scientific questions into queries

  • Strong fundamentals in statistics and probability

  • Adept communicator, especially when distilling complex concepts for a general audience

  • Exposure to the fields of logistics, demand planning, operations, or finance

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