Data Analyst

ABOUT VIAPLUS

Via Plus is a global mobility company in the Intelligent Transportation Systems (ITS) market, specializing in revenue and services management solutions for the transportation industry. Our customer operations, data analytics, and full-featured, single-account back‑office technology facilitate the high-volume transactions required for seamless multimodal mobility. As a VINCI Highways subsidiary, we are committed to technical innovation and to promoting a positive mobility experience for all.

We are pioneers in the transportation transaction and mobility industry, with a decade of proven global experience in providing solutions focused on the tolling and transit industries. Via Plus is headquartered near Dallas, Texas, and maintains offices across the United States, France, India, and Ireland. We are part of the global network of VINCI Concessions, an international player in transport infrastructure with projects in 23 countries.

Our vision has evolved to provide a fully automated, end-to-end transportation solution that significantly improves revenue collection and efficiency while effectively lowering costs for our agency clients.

We serve enterprises that require high-volume, real-time transaction processing with the highest levels of accuracy, especially where revenue reconciliation and customer account management are key deliverables to the customer experience. Our flagship back‑office system (BOS) enables Mobility-as-a-Service (MaaS) with a “one account” feature that supports multimodal transportation solutions. In a rapidly changing environment, Via Plus maintains a strong focus on technology and continuous R&D to improve agency efficiencies, reduce operating expenses, and maximize revenue – all while providing exceptional customer service.

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VINCI Highways, a VINCI Concessions subsidiary, is a leader in road concessions, operations and mobility services. We design, finance, build and operate highways, bridges, tunnels, urban roads and mobility services on a network of more than 3,360 km in 15 countries. VINCI Highways levers its expertise to deliver the highest performance and safety standards and provide drivers with a positive experience.

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@VINCIConcess

Data Analyst

Plano, TX

Act as the interface between the business and operations for providing analytical support for day-to-day operations. Gather data from across the business, analyze it and translate the results into a non-technical language for team members of all backgrounds. Responsible for building data models to organize important data for different teams across the business and for monitoring and handling data. Assess programs, schema and process flows to advise business stakeholders on ways to align data and operational statistics with the goal being to evaluate and synthesize data needed to gauge program performance as well as to identify areas of efficiency and improved performance.

Perform highly complex data analysis and data research work. Work involves conducting detailed analysis and extensive research on data and providing results in various formats. Monitor and implement measures to ensure data quality. Responsible for using standard statistical tools, methods and techniques to translate data into actionable insights using data visualization software. Works under limited supervision, with moderate latitude for the use of initiative and independent judgment.

The Data Analyst will support tolling operations, customer accounts, and revenue systems by transforming complex data into actionable insights.

Key responsibilities include:

• Collaborate with internal and external stakeholders to understand business needs and translate them into data requirements and analytical solutions.
• Analyze tolling, transactional, financial, and operational data to support decision-making and performance monitoring.
• Identify trends, patterns, anomalies, and data quality issues across large and complex datasets.
• Develop and deliver standard and ad hoc reports, dashboards, and visualizations for executives, managers, and operational teams.
• Apply…