Traffic & Revenue Engineer

USA - CINTRA - Concession - I-66 - CI66-Manassas VA (VA0103)

Ferrovial

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About us:

In 2016, the Commonwealth of Virginia selected a Cintra-led consortium to finance, design, build, operate and maintain the express lanes on Interstate 66 Outside the Beltway. The project will transform this critical Northern Virginia artery to relieve congestion, improve safety and provide more predictable travel times. The project corridor extends approximately 22 miles along Interstate 66 from the Capital Beltway (I-495) to Gainesville (US Route 29). Once completed, the project will include three toll-free general-purpose lanes in each direction and two express lanes in each direction with a state-of-the-art open-road electronic toll collection system. Expanded transit service, park-and-ride lots and interchange enhancements will further improve travel along I-66. The project will also connect several shared use paths to create more multimodal options. As an innovative and efficient public-private partnership, this project will be completed at a $2.5 billion net savings for the Commonwealth of Virginia.

What makes us different? Our people come first. We want every single employee to develop both professionally and personally. With a strong focus on growth potential, we look to our internal employees as potential candidates for both national and international opportunities. We aim to achieve greatness by promoting from within every chance we get. We work hard and play hard and strive every day for success and achievement. With a diverse group of professionals working in a fast-paced environment, we achieve milestones constantly. And if that weren’t enough, we also offer our employees highly competitive insurance benefits, Paid Time Off, and a matching 401(k) program.

Job Description:

The Traffic and Revenue Engineer is responsible for optimizing the performance and financial outcomes of tolled highway system, I-66 Express Outside the Beltway, through the application of traffic modeling/forecasting, pricing strategies, and customer analytics. This role involves analyzing large datasets, implementing various analyses to enhance decision-making for toll pricing and traffic management. The traffic and Revenue Engineer collaborates closely with other departments of I-66 Express Mobility Partners and its stakeholders to ensure efficient operations of managed lanes and contributes to long-term planning by assessing traffic patterns, revenue risks, and customer behavior trends.

Essential Duties and Responsibilities:

  • Process large datasets using programming languages for traffic and revenue analysis

  • Create and maintain interactive dashboards in PowerBI and Tableau to visualize traffic and revenue performance

  • Conduct statistical analyses to monitor and evaluate customer behavior, travel demand, and toll prices

  • Develop traffic and revenue forecasting models leveraging historical data

  • Use predictive analytics to inform pricing strategies

  • Utilize dynamic pricing strategies to adjust toll rates in real-time based on traffic conditions, demand, and other factors

  • Support decision-making with stakeholders through clear communications of data-driven insights and recommendations

  • Prepare memos and reports outlining traffic and revenue patterns to inform management and stakeholders.

Qualifications (Knowledge, Skills & Abilities):

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 to fulfill those duties. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Education & Experience:

  • BS in Transportation Engineering, Data Science, Economics or a related field. A Master’s degree or higher is preferred.

  • 3+ years of experience in forecasting, data analytics, transportation modeling, or transportation infrastructure management projects with a focus on traffic and revenue preferred.

  • Experience with dynamic pricing models and revenue optimization strategies is preferred.

  • Proven track record in analyzing large datasets and performing statistical analyses to inform decision-making is preferred.

  • In-depth knowledge of transportation systems, traffic flow theory, and managed lanes is preferred.

Professional Qualities:

  • Excellent written and verbal communication skills, with ability to prepare memos and present complex data in a clear manner

  • Strong problem-solving skills and ability to work in fast-paced environment

  • Ability to prioritize tasks effectively and manage multiple projects

  • Detail-oriented; ability to ensure accuracy and thoroughness in analyses and reporting.

Computer Skills:

  • Advanced proficiency in Python, R, and/or SQL for data processing and analysis required

  • Proficiency in data visualization tools such as PowerBI, Tableau, and creating interactive dashboards required

  • Familiarity with statistical analysis and optimization techniques preferred

  • Exposure to GIS software preferred

Work Environment & Physical Demands:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • The noise level in the work environment is usually quiet

  • Some travel required; may include air travel

  • The employee must occasionally lift and/or move up to 10 pounds

  • Specific vision abilities required by this job include the ability to adjust focus, as necessary to use a computer

  • While performing the duties of this job, the employee is regularly required to talk or hear

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Category: Engineering Jobs

Tags: Data Analytics Data visualization Economics Engineering Finance Power BI Python R SQL Statistics Tableau

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