Analytics Engineer

  • Remote
  • Full Time
  • Technology
  • Mid Level

About Leap:

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.

Key responsibilities:
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:

  • Develop, update and maintain the BI dashboards we provided to our brand customers and internal user stakeholders
  • Help perform ad-hoc data analysis that supports strategic growth and leadership initiatives
  • Obtain and integrate data from new sources to help expand the breadth and depth of our analyses and resulting insights
  • Have fun and work with a scrappy, optimistic, energetic startup team
  • Use state-of-the-art technology and programming tools
  • Collaborate on the roll-out of internal workflows and procedures, prioritizing automation  
  • Be encouraging, supportive, kind, fun, sensitive, honest, a great teacher, and above all, a great student

Our ideal candidate has:

  • 1-2 years experience with data management, analytics, and KPI development
  • Technical experience using modern ELT tools like dbt
  • Demonstrated problem-solving and process-improvement skills
  • Excellent written and verbal communication skills
  • Curiosity, energy, and a sense of humor

In your first month, you will:

  • Go to our stores, ask questions, try on products, buy products, return products, and experience being a customer first-hand
  • Plunge into our existing databases to answer straightforward analytics questions
  • Pair with our engineers to understand our existing ETLs and data 
  • Communicate constantly with an encouraging, supportive team
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