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Business Intelligence Engineer III

Job in Naperville, DuPage County, Illinois, 60540, USA
Listing for: Preferred Travel Group
Full Time position
Listed on 2026-05-30
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

About Us

At Preferred Travel Group, we care deeply about our people, nurture independence, and celebrate individuality. Family values inspire us, and we believe that change creates opportunity. We are committed listeners and deliberate storytellers in hospitality. We engineer potential, foster trust, and co‑create brighter futures. Our culture values collaboration, adaptability, and precision—qualities essential to every role. We are forever curious, guided by the Pineapple as our global symbol of hospitality.

We believe the business of hospitality is borderless, and we proudly embrace that spirit every day.

We believe that every team member brings unique strengths to the table, and we’re committed to creating an environment where those strengths can thrive.

Position Summary

We are seeking an analytical, solution‑orientated, experienced Business Intelligence Engineer III. You will be responsible for developing and maintaining the company’s reporting and analytics solutions, ensuring stakeholder 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.

Under the general supervision of the department director, the BI Engineer works closely with other engineers in the Data and QA teams and frequently interacts with end users and other stakeholders.

Key Responsibilities Business Intelligence Development
  • Design, build, and maintain reports, dashboards, and data visualizations
  • Write optimized queries to support complex business analysis in reports and ad‑hoc queries
  • Ensure accuracy, reliability, and performance of all reports and analytics solutions
  • Drive development of advanced analytics capabilities with machine learning and AI
Stakeholder Engagement and Support
  • Act as 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
Data Modeling and ETL
  • Assist in designing and optimizing data models for reporting and analytics purposes
  • Work with Data Engineers to define and improve data processes that serve reporting needs
  • Participate in troubleshooting and performance tuning of upstream data storage and processing
Operational Support
  • Monitor and maintain the performance and availability of all reports and analytics solutions
  • Troubleshoot and resolve reporting‑related issues, ensuring minimal downtime for end users
  • Identify opportunities for process automation and efficiency across the data environment
  • Enforce data governance policy
Collaboration
  • Manage and prioritize work in ticketing system
  • Maintain regular communication in stand‑ups and stakeholder meetings
  • Participate in code reviews to ensure adherence to best practices and high‑quality deliverables
  • Contribute to technical documentation for processes, tools, and workflows
Leadership & Mentorship
  • Mentor other team members by sharing knowledge and providing guidance on best practices
  • Take ownership of complex projects, ensure timely delivery of solutions that meet requirements
  • Advocate for adoption and usage of our tools and new technologies across the company
Required Experience/Qualifications
  • Bachelor's degree or higher in Business Analytics, Information Systems, or other relevant degree/related field, or equivalent professional experience
  • Excellent communication skills with the ability to engage non‑technical stakeholders effectively
  • Expert knowledge of reporting/data visualization tools (Power BI)
  • Expert knowledge of one or more relevant languages (DAX, SQL, Python, R)
  • Strong understanding of data modeling concepts and ETL best practices
  • Experience with version control systems and best practices (Git, Git Hub)
  • 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
Typical Behaviors & Working Style

The Ideal Candidate…

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