Huckberry is seeking a Data Analyst to support teams across the company by unlocking access and insights to data & streamlining its usability. In this position, you will play a vital role in translating data into actionable information. You will help acquire data from a variety of sources, transform it for use, interpret results, and partner with our internal teams to unlock the insights they need to make the right decisions. The ideal candidate must be comfortable working with large sets of data, be proficient in SQL, and have excellent critical thinking/ analytical skills.
Here at Huckberry, we're building the 21st century men's retailer. Were on a mission to inspire and equip adventures near and far, and along the way create the most loved mens retailer on the planet. We were recently named one of IAB's most disruptive consumer brands of 2019, and are just getting started.
Huckberry was bootstrapped from a $20k personal investment from co-founders Richard Greiner and Andy Forch to over 70 employees before raising our first outside capital in 2017. Today, were still independent and a team of 90-ish based in San Francisco, Austin, and Ohio. Our investors all started as customers, and include members of the Nordstrom family, Simon family, Hormel family, and #1 New York Times best-selling author Tim Ferriss.
Our mission of inspiring and equipping adventures is at the core of everything we do. That's why in addition to competitive market salaries and benefits, we have a generous vacation policy, a sabbatical program (recent employee trips include a surf and yoga retreat in Morocco, dog sledding in Norway et al.), summer "See You Out There" Fridays, white water rafting trips, and, of course, loads of free gear. We look forward to meeting you!
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Huckberry encourages candidates of all different backgrounds and identities to apply. We are always eager to further diversify our company, and we are committed to providing an inclusive environment of mutual respect where all can flourish. All of our employment decisions are based solely on merit and business need.