Data-Driven Traffic & Revenue Trainee

Ferrovial

Manassas (VA)

On-site

USD 60,000 - 90,000

Full time

14 days+

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Job summary

Ferrovial in Virginia seeks a Traffic & Revenue Trainee to gain hands-on experience in data analysis, sketch modeling, and strategy development that informs pricing and customer-facing initiatives. You will work with proprietary datasets, develop forecast models, and help design data collection programs to support traffic growth and performance improvements across transportation facilities.

This entry-level role emphasizes analytical storytelling, collaboration with analysts and engineers, and

Qualifications

  • Master Degrees are preferred (Transportation Focus) and Civil Engineering or related field required.
  • Experience with Excel, Power BI, Tableau, ArcGIS, Trans CAD, Cube, SAS, Python, and MySQL.
  • Knowledge of discrete choice modeling, econometrics, or data mining is valuable.
  • Strong Microsoft Office skills and data-structure familiarity.
  • Excellent writing and verbal communication; collaborative attitude.

Responsibilities

  • Combine multiple datasets to perform ad-hoc trend analyses.
  • Analyze traffic and socioeconomic data for concession areas.
  • Develop forecast models for business development opportunities.
  • Define and analyze traffic data collection programs (counts, surveys, travel time).
  • Prepare memos on trends and indicators related to regions of interest.
  • Evaluate feasibility of additional data collection and market study.

Skills

Data analysis
Forecast modeling
Data storytelling
Python
SQL / MySQL
Power BI
Tableau
Excel

Education

Master's degree in Transportation Focus
Civil Engineering degree or related

Tools

Excel
Power BI
Tableau
ArcGIS
TransCAD
Cube
SAS
Python
MySQL

Job description

Ferrovial in Virginia seeks a Traffic & Revenue Trainee to gain hands-on experience in data analysis, sketch modeling, and strategy development that informs pricing and customer-facing initiatives. You will work with proprietary datasets, develop forecast models, and help design data collection programs to support traffic growth and performance improvements across transportation facilities.

This entry-level role emphasizes analytical storytelling, collaboration with analysts and engineers, and

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