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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, Hybrid in the United States

Build Power BI reports, dashboards, and semantic models for Preferred Travel Group’s independent hotel and resort brands. Support reliable analytics, self-service reporting, and AI-driven business insights.

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

Description

  • Create and maintain reports, dashboards, and data visualizations.
  • Write efficient queries for complex analysis, reporting, and ad hoc requests.
  • Maintain the accuracy, reliability, and performance of reporting and analytics solutions.
  • Expand advanced analytics capabilities with machine learning and AI.
  • Act as the main contact for business users with reporting and data questions.
  • Deliver training and office hours to encourage self-service analytics.
  • Translate business requirements into technical solutions through analysis and discovery.
  • Address user tickets and reported bugs.
  • Build and maintain semantic models and accessible metrics for reporting and self-service analytics.
  • Partner with Data Engineers on data model design and optimization.
  • Track system availability and performance, and troubleshoot problems.
  • Find opportunities to automate processes and uphold data governance policies.
  • Organize and prioritize work in the ticketing system.
  • Share updates in stand-ups and stakeholder meetings.
  • Review code and contribute to technical documentation.
  • Work with Data and QA teams under the department director’s general supervision.

Requirements

  • Bachelor’s degree or higher in business analytics, information systems, or a related discipline.
  • At least five years of experience in business intelligence, data engineering, data science, or a related field.
  • Strong communication skills and the ability to work with non-technical stakeholders.
  • Expert-level knowledge of Power BI.
  • Expertise in at least one of DAX, SQL, Python, or R.
  • Strong semantic modeling skills, including Power BI datasets and models.
  • Solid understanding of data modeling concepts and ETL best practices.
  • Experience with version control systems, Git, and GitHub.
  • Knowledge of machine learning and AI concepts and their business intelligence applications.
  • Strong problem-solving ability and independence on complex tasks.
  • Experience mentoring colleagues and sharing best practices.
  • A record of owning complex projects and encouraging adoption of new tools and technologies.
  • Proficiency in multiple relevant languages, such as DAX, SQL, Python, and R.

Benefits

  • Flexible remote work within an in-office work philosophy.
  • Professional development opportunities.
  • Mentorship opportunities.
  • An inclusive culture with cross-functional collaboration.

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