
501 - 1000 employees
Founded 1989
✈️ Travel
📦 Logistics
🏨 Hospitality
Travel • Logistics • Hospitality
IDeaS Revenue Solutions is a leading provider of hospitality revenue management software that helps businesses forecast accurately, optimize pricing, and achieve greater profitability. With 35 years of industry leadership and a presence in over 164 countries, IDeaS offers a range of services including financial forecasting, budgeting, consulting, and strategy planning for a variety of sectors within the hospitality industry, such as hotels, resorts, and airports. The company's innovative solutions leverage technology and analytics to transform data into actionable insights, allowing clients to maximize their revenue potential.
🔥 12 hours ago
🇺🇸 United States – Remote
👨🎓 Internship
⚪️ Entry-level
🎡 Marketing
🚫👨🎓 No degree required
👻 Ghost score 12%
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501 - 1000 employees
Founded 1989
✈️ Travel
📦 Logistics
🏨 Hospitality
Travel • Logistics • Hospitality
IDeaS Revenue Solutions is a leading provider of hospitality revenue management software that helps businesses forecast accurately, optimize pricing, and achieve greater profitability. With 35 years of industry leadership and a presence in over 164 countries, IDeaS offers a range of services including financial forecasting, budgeting, consulting, and strategy planning for a variety of sectors within the hospitality industry, such as hotels, resorts, and airports. The company's innovative solutions leverage technology and analytics to transform data into actionable insights, allowing clients to maximize their revenue potential.
• Inventory relevant marketing and sales interaction sources and document available data • Define and document interaction types, business rules, required fields, and success criteria for an attribution and influence model • Map and normalize interaction data across platforms into a consistent structure • Support development of a prototype or proof of concept for business-defined attribution reporting • Test outputs, document findings and limitations, and recommend implementation and maintenance next steps • Support organization and documentation of marketing data in AWS, including source mapping, transformation requirements, and downstream use cases such as Salesforce outputs • Research persona- and journey-based segmentation concepts and recommend a practical segmentation approach • Document repeatable data quality practices, segmentation rules, definitions, and team guidance • Gather and document business and data requirements through stakeholder conversations • Analyze source data structures and identify gaps, inconsistencies, or dependencies • Create process maps, data dictionaries, source-to-target mappings, and other project documentation • Test assumptions and validate results using structured analysis • Communicate progress, risks, findings, and recommendations in a concise, business-friendly format • Prepare a final presentation and reusable project documentation
• Currently pursuing a degree in Marketing Analytics, Business Analytics, Data Analytics, Information Systems, Computer Science, Data Science, Marketing, or a related field; third-year student preferred • Strong analytical thinking, curiosity, attention to detail, and ability to learn unfamiliar systems • Experience with spreadsheets • SQL, data modeling, cloud platforms, CRM, marketing automation, or visualization tools helpful but not required • Ability to communicate clearly, document work thoroughly, and collaborate across business and technical perspectives • Must be legally authorized to work in the United States • Must not require, now or in the future, sponsorship for employment visa status • Equivalent combination of education, training, and relevant experience may be considered in place of the stated education requirement
• Inclusive work environment • Professional growth opportunities • Opportunity to balance work with other aspects of life • Applied experience with AWS, SQL, Salesforce, HubSpot, segmentation, customer journey concepts, and marketing measurement, depending on project scope and readiness
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