Love live music? Want to be part of one of the few tech startups currently making a real impact on the music industry?

At Lyte, we help fans get into their favorite events, with a ticketing experience that doesn’t suck - no scalpers or fake tickets.

Want to watch the software you build immediately get put to use at the highest levels of the music industry? If there is popular music event or festival that is sold out, we are most probably close partners, think the biggest names in the industry! To name a few, Coachella, Burning Man, ComicCon, Electric Forest, Newport Folk Festival, AfroPunk, and BottleRock. Don’t see your favorite event or artist here yet? Help make it a reality.

Want to join a team of hard working, fun loving people who are still a little weird and know how to both ship rock solid code and not take life too seriously? The Lyte engineering team is scrappy crew of technology professionals who have experience across the early stage startup realm.

In addition to being technically savvy, we love music and events and when we are not pushing code, we are actively trying to have fun in life. Some of our team members are in bands, and some just like to play flute by themselves out in the mountains.

What You’ll Do

  • Use complex data sets from multiple sources to help clients determine optimal ticket pricing for live events
  • Work with data scientists and data engineers to develop, improve, and compare pricing models and tools
  • Monitor and report on pricing trends in music industry

Your Skills

  • Analytical thinking – examine and assess data from a variety of sources, ranging from competitor pricing data to customer segment profiles and cost data
  • Problem-solving – devise solutions to drive profitability and support revenue goals
  • Mathematics – excellent quantitative skills to derive insights from multiple data sources and utilize them to develop statistically rigorous models
  • Financial forecasting – develop a range of forecasts to estimate performances from a pricing standpoint
  • Collaboration – work closely with engineering, sales, and operations teams
  • Communication – strong written and verbal skills, to present findings through reports and presentations

Requirements

  • Demonstrated success in a full-time analyst role
  • Strong experience with Excel
  • Proficient in SQL
  • Basic Python or other programming language