Data Analyst, Hotel Property activation

This role is eligible for our five-day flex office work model

Data Analyst, Hotel Property Activation

We’re a data-driven organization, which makes our Analytics and Data Science teams the brains of our operation. On the cutting edge of customer and business analytics, they make sure all our decisions and innovations are based on the latest insights.

Why this job’s a big deal:

As an analyst at Priceline, you have the opportunity to have tremendous, individual business impact. You will be handling important functions of Priceline’s hotel business through data analysis, updating tools, crafting dashboards and supporting the hotels’ sales for its inventory.

In this role you will get to:

• Ensure accuracy of data and data cleansing as needed to activate hotels for participation in a timely manner

• Become a subject matter expert in hotel operations data accuray, workflows and processes

• Develop self-service reporting by integrating data from various sources such as internal databases to report out to management

• Detail key processes and workflows around data acquisition, integration, cleansing and monitoring

• Coordinate and connect with internal and external teams to collect and request the data

• Work with large amounts of data in SQL, Big Query and Excel, including advanced formula and pivot table projects

• Maintain and operate SQL/Big Query reports and dashboards

Who you are:

• 2+ years of experience

• Outstanding attention to detail, strong analytical and communication skills, comfortable working independently, strong listener, innovator, self-motivator and the capacity to work under pressure to meet tight deadlines

• Exhibit the highest level of professionalism and unquestionable integrity, and ethics

• Demonstrate hands on experience solving problems with data querying using SQL, Big Query, statistics and modelling in classes, projects or prior work experience

• Knowledge or experience with any BI Tools and programming languages preferably Tableau and Python

• Knowledge or experience with Jira, Confluence and extranets is highly preferred but not required

• Must be proficient in Microsoft Office and use of the internet, with solid understanding of Excel

• Bachelor’s Degree in Hospitality Management, Business Management, Analytics, or Computer Science

• Proven history of living the values important to Priceline: Customer, Innovation, Team, Accountability and Trust#LI-SQ1 #LI-Hybrid