Data Analyst

ABOUT VIAPLUS :
ViaPlus 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. ViaPlus 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, ViaPlus 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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ABOUT VINCI HIGHWAYS
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 leverages its expertise to deliver the highest performance and safety standards and provide drivers with a positive experience.

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JOB PROFILE : Data Analyst

JOB LOCATION: Plano, TX

SUMMARY:
Act as the interface between the business and operations for providing analytical support for day-to-day operations. Gathers 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. Assesses 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. Performs highly complex data analysis and data research work. Work involves conducting detailed analysis and extensive research on data and providing results in various formats. Monitors and implements 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.
JOB RESPONSIBILITIES:

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 statistical and analytical techniques to evaluate business performance, operational events, and system behavior.
• Convert complex datasets into clear, concise, and business-friendly insights.
• Validate data accuracy by identifying gaps, inconsistencies, redundancies, and errors across source systems.
• Prepare comprehensive technical and analytical documentation to clearly explain findings and recommendations.
• Perform root cause analysis for operational issues, system defects, and unusual tolling or customer activity.
• Extract and integrate data from CRM systems, databases, and operational platforms to support routine reporting and executive inquiries.
• Support cross-functional initiatives and provide data insights for planning, forecasting, and future growth.
• Troubleshoot and document data, process, and system-related issues in coordination with technology and operations teams.
• Providing support for additional projects as required, including data to support planning for future growth.

QUALIFICATIONS:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.

• Must be self-starter.
• Ability to work with minimal direction in a fast paced / high-pressure environment.
• Ability to prioritize tasks and directly support the department managers.
• Good troubleshooting and error isolation skills.
• Excellent oral/written communication skills are required, including demonstrated ability to package analytical results into an executive summary and present to senior leadership.
• Advanced knowledge of Excel, Power BI, and SQL
• Intermediate skills of Word and PowerPoint; along with other MS Office products, such as Visio, Access
• Exercises logic and reasoning to define problems, establish facts and draw valid conclusions
• Experience or exposure to AI/ML and data science techniques (such as predictive analytics, anomaly detection, or pattern recognition) is a plus.

EDUCATION & EXPERIENCE:
Bachelor’s degree in business, management, economics, accounting, finance, information system or significant progress towards a degree.

• 3 - 4 years in data analysis, research, compilation, and/or report writing and design work experience.

SUPERVISORY RESPONSIBILITIES
N/A
WORK ENVIRONMENT
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform essential functions. While performing the duties of this job, the employee is regularly required to use hands and reach with hands and arms, hear, and talk. The employee will be working and navigating on a computer. The employee occasionally is required to stand, sit, stoop, kneel, crouch, and walk. The employee may occasionally be required to lift and/or move up to 20 pounds. The work environment is usually moderate to loud.