Data Analyst
Vacasa
Prague, CZ
před 3 dny

Why Vacasa?

Here at Vacasa, we help travelers experience unforgettable vacations. When you grow as quickly as we have been, every day is an exciting one.

We embrace opportunities and have a tendency to hand out responsibilities to our employees to see how they can stretch and challenge themselves.

This is a place to grow as an individual, and to be part of our collective growth as a company and a team...and so far, it's been an unbelievably rewarding journey together.

We’re searching for new employees who can contribute to our most important asset, our culture. We’re looking for people who are excited to embody our values every day as part of the team.

What We’re Looking For :

We are looking for a Data Analyst I to help us support our substantive growth. This position will support the analytics team in monitoring and optimizing the performance of a portfolio of homes and making marketing and rate change recommendations as needed.

The ideal candidate will have a passion for all things numbers and finance with a strong grasp on economic drivers that could influence performance, booking behavior and market characteristics.

Must be a self starter with a strong curiosity to dive into the weeds to identify the "why" behind the "what" while also able to make data driven recommendations that have broader reaching impacts.

What You'll Do :

  • Research and review portfolio performance and health
  • Develop and improve portfolio reporting
  • Assist in identifying and implementing portfolio optimization strategies
  • Monitor and improve proprietary rate algorithms
  • Maintain and enhance existing financial models
  • Requirements :

  • Intermediate level MySQL, PostgreSQL, or other SQL variation
  • Intermediate level working with a statistical programming language such as Python or R
  • Experience with time series forecasting, yield management, or revenue management is a plus
  • Fluency in English is required, fluency in Spanish is a plus
  • Graduate degree in a related field preferred
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