Traffic & Revenue Data Analyst
| Company | Ferrovial |
|---|---|
| Location | Charlotte, NC, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Junior, Mid Level |
Requirements
- 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.
- Must be able to demonstrate high computer proficiency, especially with Microsoft Excel, Word and Power Point and other PC based programs.
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.
Preferred Qualifications
- Desirable knowledge in ArcGIS, network modeling software, statistical software, experience in databases would be valuable.
- Basic coding skills in Python and/or R, SQL or similar languages for data analysis and modeling are highly desirable.