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Traffic & Revenue Data Analyst

Ferrovial
United Statesfull_timeVerifiedPosted 4 Feb 2025

About the role

About us:

I-77 Mobility Partners LLC is financing, developing, designing, constructing, operating and maintaining the 26-mile I-77 Express project as part of a public-private partnership with the North Carolina Department of Transportation. The tolled express lanes run adjacent to the general-purpose lanes on I-77 between uptown Charlotte and Mooresville. I-77 Mobility Partners is responsible for operations and maintenance of all lanes, both express and general purpose, and right of way within the designated project corridor limits.

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:

A Traffic & Revenue Data Analyst analyzes traffic data to develop accurate and reliable traffic and revenue forecasts. A Traffic & Revenue Data Analyst also utilizes the knowledge gathered through the analysis of the data to optimize revenue. They play a crucial role in the feasibility analysis of project developments by providing data-driven insights.

Essential Duties and Responsibilities:

  • Develop and maintain sophisticated spreadsheet-based models to project traffic and revenue, considering historical data and prevailing economic conditions.

  • Develop and improve methods of analyzing traffic data.

  • Support Advanced Analytics projects for optimization of projects in operation.

  • Prepare traffic & revenue-related memos examining trends, leading indicators, and travel patterns, and present findings and forecasts to supervisors and company executives.

  • Stay abreast of regional policies, market trends, and technological advancements that may impact traffic and revenue projections.

  • Collaborate with the cross-functional department to prepare traffic and revenue components of feasibility analyses for potential projects.


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:

  • Completed a Bachelor’s degree. Focus on transportation or a quantitative field such as Statistics, Analytics or a related field are a plus.

  • 1 to 3+ years of experience in data analysis, transportation analysis or equivalent academic experience required

  • Experience in conducting research, analyzing data, identifying trends, and generating insights

  • Coursework in transportation engineering, traffic analysis, traffic flow theory, and/or transportation planning are a plus.

  • Experience with discrete choice modeling, econometrics, or data mining would be valuable.

  • A specific interest in transportation.

Professional Qualities:

  • Highly motivated

  • Strong critical thinking skills

  • Superior organizational and self-management skills, including the ability to proactively manage tasks with strict deadlines

  • Ability to interact with colleagues in a self-managed team structure

  • Must be able to multitask, problem-solve, and implement innovative processes within a fast-paced environment

  • Superior quantitative skills

  • Superior writing and verbal communication skills, particularly technical report writing skills

Computer Skills:

  • Must be able to demonstrate high computer proficiency, especially with Microsoft Excel, Word and Power Point and other PC based programs

  • Desirable knowledge in ArcGIS, network modeling software, statistical software, experience in databases would be valuable

  • Coding Proficiency: Basic coding skills in Python and/or R, SQL or similar languages for data analysis and modeling are highly desirable.

Work Environment & Physical Demands:

The work environment ch

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Company

Ferrovial

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