Data Analyst

The Grand America Hotel

The Grand America Hotel is part of a renowned hospitality group that includes various prestigious properties like Sun Valley Resort and Snowbasin Resort. They are recruiting a Data Analyst to enhance their Marketing Technology team. This role aims to utilize data expertise to support and drive business decisions across their hotel and ski resort locations.

In this role you can expect to have the responsibilities:

• Collaborate with teams in Marketing, Finance, Sales, and Revenue Management to meet analysis requirements.
• Transform data into digestible formats such as dashboards and visualizations.
• Analyze and organize data across multiple properties, ensuring cleanliness and accuracy for reporting.
• Promote the use of Tableau dashboards through training and partnership.
• Work with the CRM Manager on customer segmentation strategies.
• Integrate distinct data sources to assess marketing campaigns and business effectiveness.
• Provide strategic recommendations grounded in data insights.
• Maintain data, reports, and insights documentation and hub.

This role requires you to have:

• Knowledge of marketing, sales, and business processes.
• Ability to combine marketing data to evaluate effectiveness.
• Experience in data analysis and querying using SQL, Tableau, Python, R.
• Proficiency in ETL methods and working with relational databases.
• Expertise in data visualization and dashboard creation with Tableau.
• Effective communication skills across organizational levels.
• Curiosity and capability to solve data ambiguities.
• Self-motivated with the ability to independently learn and build business relationships.
• 3-5 years of data analysis experience and a Bachelor's Degree in a related field.

You would benefit from having:

• Experience with Snowflake or similar data warehousing.
• Background in the Travel & Leisure industry.
• Familiarity with ski industry data.
• Proficiency in web analytics tools like Google Analytics.
• Knowledge of A/B Testing methods.
• Understanding of NPS and survey data.