Business Intelligence Engineer III

Who we are: 

At Preferred Travel Group, we champion the power of travel to inspire meaningful connections and enrich lives around the world. As a global family of brands and programs representing the finest independent hotels and resorts, we are united by a shared belief in authenticity, collaboration, and the value of independent spirit. Our culture reflects our ideology in action: people first, relationships at the center, and a commitment to creating lasting impact for our partners, our global community, and one another. When you join Preferred, you become part of a purpose-driven organization where ideas are welcomed, growth is encouraged, and your work contributes to shaping the future of travel. 

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Why this role matters: 

We are seeking a highly organized, proactive, and technically skilled BI Engineer III to develop and maintain the company's reporting and analytics solutions, ensuring stakeholders have access to accurate, optimally presented data for actionable insights. This role is the primary business-facing representative of the data team and is expected to have expert knowledge of our data, including its structure, usage, and business meaning. 

Success in this role comes from independently delivering well-designed reporting solutions, building strong relationships with business stakeholders, and serving as a trusted expert on the company's data. Working under the general supervision of the department director, this role partners closely with the Data and QA teams while remaining the primary point of contact for end users and other stakeholders 

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What you’ll deliver: 

• Design, build, and maintain reports, dashboards, and data visualizations. 
• Write optimized queries to support complex business analysis in reports and ad-hoc requests. 
• Ensure the accuracy, reliability, and performance of all reports and analytics solutions. 
• Drive development of advanced analytics capabilities using machine learning and AI. 
• Act as the primary point of contact for business users regarding reporting and data inquiries. 
• Conduct trainings and office hours to improve self-service analytics adoption and outcomes. 
• Gather and analyze business requirements, translating them into technical solutions. 
• Respond to user tickets and bug reports in a timely manner. 
• Design and maintain semantic models that translate raw data into consistent, business-friendly metrics and definitions for reporting and self-service analytics. 
• Assist in designing and optimizing data models for reporting and analytics purposes, partnering with Data Engineers to improve upstream data processes. 
• Monitor and maintain the performance and availability of all reports and analytics solutions, troubleshooting issues to minimize downtime. 
• Identify opportunities for process automation and efficiency across the data environment, and enforce data governance policy. 
• Manage and prioritize work in the ticketing system, and maintain regular communication in stand-ups and stakeholder meetings. 
• Participate in code reviews to ensure adherence to best practices, and contribute to technical documentation for processes, tools, and workflows.

What Would Make You Stand Out: 

• Demonstrated experience mentoring team members and sharing knowledge on best practices. 
• A track record of taking ownership of complex projects and driving adoption of new tools and technologies across an organization. 
• Proficiency across multiple relevant languages (e.g., DAX, SQL, Python, and R), rather than just one. 
• Knowledge of machine learning and AI concepts and their application to business intelligence. 
• Strong problem-solving skills and comfort working independently on complex, ambiguous tasks. 

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What you’ll bring to the team:

• Bachelor's degree or higher in Business Analytics, Information Systems, or a similar discipline. 
• 5+ years of experience in business intelligence, data engineering, data science, or a related field. 
• Excellent communication skills, with the ability to engage non-technical stakeholders effectively. 
• Expert knowledge of reporting and data visualization tools (Power BI). 
• Expert knowledge of one or more relevant languages (DAX, SQL, Python, R). 
• Strong semantic modeling skills, with demonstrated ability to design and maintain semantic layers (e.g., Power BI datasets/models) that are performant, well-documented, and easy for business users to self-serve from. 
• Strong understanding of data modeling concepts and ETL best practices. 
• Experience with version control systems and best practices (Git, GitHub). 
• Knowledge of machine learning and AI concepts and their applications to business intelligence. 
• Strong problem-solving skills and the ability to work independently on complex tasks.

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Where you’ll thrive:

• Reporting and analytics solutions are accurate, reliable, and widely trusted to support day‑to‑day and strategic decision‑making.
• Business requirements are consistently translated into high‑quality dashboards, reports, and data models that perform well and scale effectively.
• Stakeholders and team members are enabled through clear documentation, training, and mentorship, increasing confidence and self‑service use of data.
• User support requests are handled promptly, with a strong focus on swift and successful resolution.

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Our Working Culture: 

With our in-office philosophy, our associates are expected to be in the office at least three days per week, supporting a healthy balance between in-person collaboration and flexible remote work. We take pride in our vibrant and inclusive culture, which thrives on meaningful connection, shared purpose, and cross-functional teamwork. In-office engagement plays a vital role in fostering spontaneous collaboration, accelerating innovation, and strengthening relationships across teams. It also provides valuable opportunities for mentorship, professional development, and a deeper sense of community.  

Please note: While the current expectation is a minimum of three days per week in the office, this may evolve over time in alignment with business needs and our continued commitment to culture-building 

Disclaimer: This description reflects the general nature and level of the role. It is not intended to be an exhaustive list of responsibilities or requirements. 

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Salary

$110,000 - $120,000 actual compensation within this range will be determined by multiple factors including candidate experience and expertise.