BI Analyst

About PrePass PrePass® is North America's most trusted weigh station bypass and toll management platform. We’re transforming how the transportation industry operates—creating solutions that keep trucks moving safely, efficiently, and compliantly. This means making bold decisions and building systems that support not only fleets but the broader economy. It all starts with enabling commercial vehicles to keep rolling with seamless toll management, weigh station bypass, and safety solutions. It’s what we do best, and we do it to meet the demands of the road every day.

That’s why people join us: our solutions are implemented in real-time, on highways and interstates across the nation, helping fleets go farther, faster. This work challenges and rewards, presenting complex problems that need ambitious answers. We hire bold thinkers with a heart for impact, a passion for progress, and the optimism to shape the future of transportation.

About the Role We’re seeking a BI Analyst to join our Business Intelligence team, reporting to the Manager of Business Intelligence. In this role, you’ll translate data into actionable insights that support business decision-making across the company. You’ll collaborate with business and technical stakeholders to understand their goals and objectives and deliver meaningful insights. This position is primarily remote, with occasional visits to our downtown Phoenix office, located directly across the street from Footprint Center.

Essential Responsibilities Reporting & Analysis Gather, analyze, and interpret data to provide insights and recommendations to stakeholders. Provide detailed quantitative and qualitative data analysis and reporting, applying statistical methods where appropriate. Identify trends, patterns, and anomalies in tolling, bypass, device, and customer data. Respond to ad hoc report and data requests submitted through the BI service desk across multiple business areas.

BI Solutions & Data Quality Create and enhance Power BI reports, dashboards, and visualizations, including semantic model and DAX measure changes. Troubleshoot report refresh failures and data issues, partnering with data engineers on root-cause fixes. Validate report outputs against warehouse and source data before release to ensure data accuracy, reliability, and accessibility. Document reports, metric definitions, and data lineage in Confluence.

AI-Assisted Analytics Use AI-assisted workflows to translate business questions into reporting artifacts (semantic model changes, DAX, and documentation), validating outputs for accuracy and policy compliance. Incorporate AI tools into routine reporting and documentation work, writing clear, specific prompts and refining them when the first output isn't quite right. Begin applying simple agentic tools to single, well-defined tasks under guidance. Review AI outputs for accuracy before use, ask informed questions, and seek out new AI use cases relevant to your work.

Stakeholder Collaboration & Process Improvement Gather and document business requirements to support reporting and analytics initiatives. Proactively look for ways to improve your own workflows and reporting processes. Collaborate across the BI team to reach shared goals, and mentor teammates one-on-one as opportunities arise.