Guesty is the all-in-one platform for hospitality businesses to automate and optimize every aspect of their operations. With purpose-built technology, industry-wide expertise, and an R&D team of 200+ engineers, Guesty ensures that hospitality businesses can streamline and achieve growth, while delivering the best value to guests. With a complete suite of features and 150+ industry partners, including major booking OTAs like Airbnb, Vrbo, Booking.com, Tripadvisor, Expedia, Hopper, Google Travel, and many more, Guesty is transforming the hospitality industry with innovative solutions.

Today, Guesty has 15 offices and 700+ team members across the globe.

We are looking for a skilled Product Data Analyst to join our Analytical team!

In this role you will take a significant part in driving actionable insights about the data to the product team and have a direct impact in decision making of our product and strategy.

You will use mostly SQL to crunch the data, and will work closely with the Product Managers and other key stakeholders of the company.

Responsibilities:

• - Be a focal point of all analytical aspects related to Guesty’s products.
• - Provide support for ongoing analytical needs of the PM Team to make product recommendations.
• - Design KPIs for features and conduct product experiments and monitoring.
• - Deliver high quality presentations of findings and recommendations to multiple levels of stakeholders, creating visual displays of quantitative information.
• - Create and maintain product-related dashboards.
• - Take an active role on key decisions to improve Guesty’s products.
• - Research and deep diving into the product and the industry.

Requirements:

• - Minimum 3 years experience as Data Analyst, preferably in a SaaS or B2C company.
• - Bsc/BA in exact sciences such as Statistics/Economics/Mathematics/Physics or Industrial Engineering, Master degree - an advantage.
• - Strong analytical skills, high level of SQL - must.
• - Good knowledge of reporting and data visualization tools (such as Tableau / Sisense / Qlik / DataStudio / Looker)
• - Team player, good communication and presentation skills. High level of English.

Advantage:

• - Experience working in a SaaS company.
• - Experience as a Product Analyst
• - Background in statistical research.