Hospitality And Merchandise Insights Intern

Legends Global

New Orleans, LA, United States
On-site
Data aggregation and preparation
Dashboard quality control assistance
Excel, sql, r, python, or powerbi experience
The Hospitality and Merchandise Insights Intern position at Legends Global in New Orleans, LA, offers an opportunity for students pursuing degrees in quantitative fields to gain hands-on experience in data analysis and consultancy within the hospitality and merchandise sectors. The role involves supporting data and analytics deliverables while ensuring quality control of data visualizations

Job Summary

  • The Hospitality and Merchandise Insights Intern will support ongoing data and analytics deliverables across the Legends Global portfolio.
  • The intern will get hands-on experience consulting venues, querying and exporting data for ad hoc analyses, and playing a key role in the quality control maintenance of current data visualizations.
  • The program will ensure cross-functional exposure to Merchandise and Hospitality operators as well as collaborative opportunities within Legends Global Insights functional areas.

Matching Summary

Match Score: 85

The Hospitality and Merchandise Insights Intern position at Legends Global in New Orleans, LA, offers an opportunity for students pursuing degrees in quantitative fields to gain hands-on experience in data analysis and consultancy within the hospitality and merchandise sectors. The role involves supporting data and analytics deliverables while ensuring quality control of data visualizations.

Skills & Requirements

Must-have

  • Data aggregation and preparation
  • Dashboard quality control assistance
  • Excel, SQL, R, Python, or PowerBI experience
  • Microsoft Office proficiency

Nice-to-have

  • Ambitious thinking and bold action
  • Collaborative team environment
  • Cross-functional exposure opportunities

Key Requirements

  • Currently pursuing bachelor's or master's degree
  • Coursework in economics, data science, business intelligence, analytics, or quantitative field
  • 1-2 years of experience in quantitative data analysis

Work Rights

Not specified

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