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Preferred Hotels & Resorts
Preferred Hotels & Resorts
201 – 500 Employees
ConsultingLogisticsMarketing
Preferred Hotels & Resorts is a global hospitality brand representing a curated collection of independent luxury hotels and resorts. Its portfolio brings together distinctive properties known for personalized service, characterful accommodations, and amenities designed around individual guest preferences. Across destinations worldwide, the company highlights each hotel’s local identity while maintaining a consistent focus on refined, memorable stays.
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Business Intelligence Engineer III

Develop Power BI reports, semantic models, and advanced analytics for Preferred Travel Group’s independent hotel and resort brands. Partner with stakeholders on data governance, training, and business-focused analytics.

USUnited States
$110,000 – $120,000 / year
HybridFull-timeMiddleSeniorEnglish RequiredBusiness Intelligence Developer
ETLPythonSQL

Description

  • Create and maintain reports, dashboards, and data visualizations.
  • Optimize queries for complex analysis and ad hoc requests.
  • Maintain the accuracy, reliability, and performance of reporting and analytics solutions.
  • Expand advanced analytics capabilities with machine learning and AI.
  • Support business users as the main contact for reporting and data questions.
  • Lead training sessions and office hours to encourage self-service analytics.
  • Translate business needs into technical solutions through requirements gathering and analysis.
  • Address user tickets and reported bugs.
  • Build and maintain semantic models and business-friendly metrics.
  • Partner with Data Engineers to design and optimize data models.
  • Monitor system availability and performance, resolve issues, and reduce downtime.
  • Find opportunities to automate processes and improve efficiency while upholding data governance.
  • Prioritize and manage work in the ticketing system.
  • Share updates in stand-ups and stakeholder meetings.
  • Review code and contribute to technical documentation.
  • Mentor colleagues and share effective practices.

Requirements

  • Hold a bachelor’s degree or higher in Business Analytics, Information Systems, or a related discipline.
  • Bring at least five years of experience in business intelligence, data engineering, data science, or a related field.
  • Communicate effectively with non-technical stakeholders.
  • Have expert-level Power BI knowledge.
  • Have expert-level knowledge of at least one of DAX, SQL, Python, or R.
  • Demonstrate strong semantic modeling skills, including Power BI datasets and models.
  • Understand data modeling concepts and ETL best practices.
  • Have experience with version control systems, Git, and GitHub.
  • Understand machine learning and AI concepts and how they apply to business intelligence.
  • Solve problems effectively and work independently on complex tasks.

Benefits

  • An office-centered approach with flexible remote work.
  • Professional development opportunities.
  • Mentorship opportunities.
  • An inclusive culture with cross-functional collaboration.
  • Training and office hours to encourage self-service analytics adoption.

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