Highgate Hotels

Internship 2025 - Data Services

Requisition ID
2024-59696
Category
Internship
Job Location
US-TX-Irving
Property
Highgate Hotels Corporate Office TX

Compensation Type

Hourly

Highgate Hotels

Highgate is a premier real estate investment and hospitality management company widely recognized as an innovator in the industry. Highgate is the dominant player in U.S. gateway markets including New York, Boston, Miami, San Francisco and Honolulu, with a rapidly expanding presence in Europe, Latin America, and the Caribbean. Highgate’s portfolio of global properties represents an aggregate asset value exceeding $20B and generates over $5B in cumulative revenues. The company provides expert guidance through all stages of the hospitality property cycle, from planning and development through recapitalization or disposition.  Highgate also has the creativity and bandwidth to develop bespoke hotel brands and utilizes industry-leading proprietary revenue management tools that identify and predict evolving market dynamics to drive out performance and maximize asset value. With an executive team consisting of some of the industry’s most experienced hotel management leaders, the company is a trusted partner for top ownership groups and major hotel brands. Highgate maintains corporate offices in London, New York, Dallas, and Seattle. www.highgate.com

Location

 

Highgate Corporate iCims Sized

Highgate Corporate Offices Irving, TX

Overview

As a Data Services Intern, you will play a key role in supporting data analysis, reporting, and data quality initiatives that help optimize hotel operations and enhance the guest experience. You will collaborate closely with the Data Services team to manage and analyze data related to booking patterns, customer feedback, operational metrics, and other aspects of the business. This internship offers an excellent opportunity to gain hands-on experience in the hospitality industry’s data field, improve your data management skills, and contribute to decision-making processes.

 

This position is based out of our Corporate Offices, Irving, TX.

Responsibilities

  •  Data Management & Reporting
    o Assist with data collection, cleansing, and validation to maintain data quality.
    o Work with team members to develop, update, and streamline dashboards and reports.
    o Ensure data consistency across various systems (e.g., PMS, CRM, Booking Engines).
  • Data Analysis
    o Use data visualization tools (e.g. Power BI) to create clear and actionable insights for teams across the organization.
    o Support predictive analytics projects to forecast demand, enhance inventory management, and optimize pricing strategies.
  • Cross-Functional Collaboration
    o Collaborate with marketing, operations, finance, and revenue management teams to understand data needs and gather requirements.
    o Assist in training hotel staff on data tools and interpreting data insights for operational efficiency.
  • Data Security & Compliance
    o Help ensure data handling procedures comply with relevant privacy laws and corporate
    policies.
    o Support the team in monitoring data access, security protocols, and adherence to best
    practices.

 

Qualifications

  • Enrolled in Bachelor’s or Master’s program in Data Science, Computer Science, Statistics, Hospitality Management, or a related field
  • Minimum Junior status
  • Proficient in SQL and familiar with data visualization tools (Tableau, Power BI)
  • Basic understanding of Excel, Python, or R for data manipulation
  • Knowledge of database management and data warehouse concepts
  • Detail-oriented, analytical mindset, and strong problem-solving skills
  • Ability to communicate complex data insights to non-technical stakeholders
  • Ability to multi-task in a high-paced environment
  • Demonstrated communication, interpersonal and teamwork skills
  • Ability to participate in a summer internship program of 10 weeks (June-August)
  • You must reside in Dallas, TX during the internship and work onsite
  • Salary - $20/hr for 40 hour week /10 weeks

 

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