Business Intelligence Engineer III

Preferred Travel Group • US,

7d • $110,000 - $120,000 • Hybrid

About The Position

Preferred Travel Group is seeking a highly organized, proactive, and technically skilled Business Intelligence Engineer III to develop and maintain reporting and analytics solutions that provide stakeholders with accurate, well-presented data for actionable insights. The role is the primary business-facing representative of the data team and requires expert understanding of the company’s data, including its structure, use, and business meaning.

The successful candidate independently delivers well-designed reporting solutions, builds relationships with business stakeholders, and serves as a trusted data expert. Under the general supervision of the department director, the role partners closely with the Data and QA teams while serving as the primary contact for end users and other stakeholders.

The position supports day-to-day and strategic decision-making by providing trusted reporting and analytics. It translates business requirements into scalable dashboards, reports, and data models, while helping stakeholders and team members improve their data skills through documentation, training, and mentorship. Associates are expected to work in the office at least three days per week, with flexible remote work for the remainder of the week; this expectation may change according to business needs.

Requirements

• Bachelor’s degree or higher in Business Analytics, Information Systems, or a similar discipline.
• At least 5 years of experience in business intelligence, data engineering, data science, or a related field.
• Excellent communication skills, including the ability to engage non-technical stakeholders effectively.
• Expert knowledge of reporting and data visualization tools, specifically Power BI.
• Expert knowledge of one or more relevant languages: DAX, SQL, Python, or R.
• Strong semantic modeling skills and demonstrated ability to design and maintain performant, well-documented semantic layers, such as Power BI datasets or models, that support business-user self-service.
• Strong understanding of data modeling concepts and ETL best practices.
• Experience with version control systems and best practices, such as Git and GitHub.
• Knowledge of machine learning and AI concepts and their applications to business intelligence.
• Strong problem-solving skills and ability to work independently on complex tasks.

Nice To Haves

• Demonstrated experience mentoring team members and sharing best practices.
• Track record of owning complex projects and driving adoption of new tools and technologies across an organization.
• Proficiency across multiple relevant languages, such as 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.

Responsibilities

• Design, build, and maintain reports, dashboards, and data visualizations.
• Write optimized queries for complex business analysis in reports and ad hoc requests.
• Ensure the accuracy, reliability, and performance of reports and analytics solutions.
• Drive development of advanced analytics capabilities using machine learning and AI.
• Serve as the primary point of contact for business users’ reporting and data inquiries.
• Conduct training and office hours to improve self-service analytics adoption and outcomes.
• Gather and analyze business requirements and translate 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, partnering with Data Engineers to improve upstream data processes.
• Monitor and maintain the performance and availability of 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 communicate regularly in stand-ups and stakeholder meetings.
• Participate in code reviews to ensure adherence to best practices.
• Contribute to technical documentation for processes, tools, and workflows.
• Enable stakeholders and team members through documentation, training, and mentorship.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior