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As a Traffic & Revenue Analyst you will analyze traffic and socioeconomic data and prepare reports and forecasts of traffic and revenue for the company’s in Meridiam’s portfolio as well as supporting development of new projects. This will be done through the application of traffic and revenue analytical principles as well as the development of knowledge gathered through the analysis of data to develop annual revenue budgets and long-term revenue forecasts of toll roads and potentially other demand-based projects.
Job Responsibility:
Analyze traffic and socioeconomic data of the portfolio companies and the regions and sectors that drive such demand
Develop and update spreadsheet-based models to forecast traffic and revenue given historic data and economic conditions and present findings
Define, implement, and analyze traffic data collection programs including but not limited to traffic counts, market research surveys, opinion polls and travel time surveys
Support the work of external consultants preparing traffic and revenue forecasts for new opportunities
Support the legal and contractual workstreams and departments
Contribute to Meridiam’s research projects in the traffic and revenue field
Prepare memos examining trends, leading indicators and travel patterns within regions of interest
Develop and improve methods for analyzing traffic data using scalable and robust techniques
Manage the work orders for a data scientist in the assessment, analysis and trend identification of large data sets
Evaluate the feasibility and usefulness of additional traffic data collection and market research
Prepare monthly reports that summarize the findings of the analyses
Requirements:
Bachelor’s Degree in engineering or relevant field required
Master’s Degree in a transportation is preferred
1 to 3+ years of experience in transportation analysis
Experience with discrete choice modeling, econometrics, or data mining would be valuable
A specific interest in transportation and demand forecasting
Highly motivated
Strong critical thinking skills
Strong organizational and self-management skills
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
Confident writing and verbal communication skills, particularly technical report writing skills
Must be able to demonstrate high computer proficiency, especially with Microsoft Excel, Word and Power Point and other PC based programs
Proficiency with ArcGIS, network modeling (TransCAD or Cube), statistical software, SQL, or Python would be valuable
Nice to have:
Proficiency with ArcGIS, network modeling (TransCAD or Cube), statistical software, SQL, or Python would be valuable
Experience with discrete choice modeling, econometrics, or data mining would be valuable
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