Leap develops and operates retail stores for modern brands. Via the Leap Platform, brands rapidly deploy stores throughout the country that work in concert with ecommerce to efficiently create compelling customer experiences. Brand stores *powered by Leap* bring modern brands to life and deliver outstanding customer service and insights that enable growing brands to innovate more quickly and more profitably, with significantly less risk. At Leap, we're excited by the opportunity to help reinvent retail and play a part in building the next generation of leading consumer brands while building an inclusive culture with meaningful presence in local communities.
Mission for the position:
As an Analytics Engineer you will conduct ad-hoc analysis and investigation of our data, and serve as a key stakeholder in the development of our BI systems and tools. As an expert on our data and metrics, you'll work closely with our BizOps, Brand Management, Retail Ops and Leadership teams to help them make data-driven decisions across the business. You'll also regularly pair with our Product and Engineering teams to help develop ETLs and organize our data into clear, reasonable data.
You'll work closely with our business teams to make sure the most awesome, high-potential brands join the Leap platform. You'll also help analyze our existing brands and store operations to make sure we're maximizing and optimizing their performance. You'll pair regularly with finance and engineering to make sure that common analyses get automated, so that we can spend our collective brainpower on the new and unusual.
What you'll do:
Our ideal candidate has:
In your first month, you will: