

The Pacetas Agency
Economic Data Analyst (Transportation & Infrastructure)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Economic Data Analyst (Transportation & Infrastructure) for a 12-month hybrid assignment in New York, NY, offering competitive pay. Requires a Bachelor's in a quantitative discipline, 1-3 years of relevant experience, and proficiency in Excel, Power BI, Python, or R.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
June 20, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Yes
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📍 - Location detailed
New York City Metropolitan Area
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🧠 - Skills detailed
#Consulting #Python #Datasets #R #Automation #"ETL (Extract #Transform #Load)" #Data Extraction #Security #Data Science #Statistics #Programming #Microsoft Access #Data Analysis #Visualization #Forecasting #BI (Business Intelligence) #Microsoft Excel #Microsoft Power BI
Role description
Port Authority of New York & New Jersey (PANYNJ) – Consultant Assignment
Location: World Trade Center, New York, NY (Hybrid – 4 Days Onsite)
Duration: 12-Month Assignment
Start Date: Immediate
Security Requirement: Must be eligible to obtain SWAC ID and Port Authority security clearance.
About the Opportunity
The Port Authority of New York & New Jersey is seeking an Economic Data Analyst to support strategic planning, transportation analysis, economic forecasting, and infrastructure investment decision-making across one of the nation's largest transportation agencies.
The successful candidate will combine strong quantitative analysis skills with transportation, economic, and demographic research expertise to develop data-driven insights supporting agency planning, capital investment analysis, and policy evaluation.
This role is ideal for early-career professionals with experience in economics, transportation planning, statistics, public policy analysis, or related analytical disciplines.
Key ResponsibilitiesData Collection & Quantitative Analysis
• Collect, organize, validate, and analyze large economic, demographic, and transportation datasets.
• Utilize public data sources including:
• U.S. Census Bureau
• Bureau of Labor Statistics (BLS)
• Federal Reserve Economic Data (FRED)
• U.S. Department of Transportation (USDOT)
• Identify and communicate trends impacting transportation demand, infrastructure investments, inflation, labor markets, and remote work patterns.
• Develop analytical datasets and dashboards using Excel, Power BI, and statistical software.
• Support automation of recurring data collection and reporting processes using Python or R.
• Perform statistical and econometric analysis to support planning initiatives and executive decision-making.
Research & Reporting
• Conduct qualitative and quantitative market research.
• Perform literature reviews and summarize research findings.
• Monitor economic releases and prepare analytical commentary.
• Produce reports, presentations, briefing materials, and executive summaries.
• Translate complex analytical findings into actionable business insights.
Required QualificationsEducation
• Bachelor's Degree in:
• Economics
• Statistics
• Finance
• Transportation Planning
• Public Policy
• Data Analytics
• Related quantitative discipline
Experience
• 1–3 years of professional experience in:
• Economic analysis
• Transportation analysis
• Statistical research
• Public sector analytics
• Infrastructure planning
Technical Skills
• Advanced Microsoft Excel
• Power BI
• Microsoft Word
• PowerPoint
• Microsoft Access
• R, Python, Stata, EViews, or similar analytical software
• Data visualization and reporting
Analytical Knowledge
• Statistics
• Econometrics
• Economic forecasting
• Benefit-Cost Analysis
• Economic Impact Analysis
• Transportation Activity Analysis
Preferred Qualifications
• Master's Degree in Economics, Statistics, Transportation Planning, Public Policy, Data Science, or related field.
• Experience supporting transportation agencies, infrastructure organizations, consulting firms, MPOs, airports, rail, transit, ports, or public-sector organizations.
• Experience working with large, complex datasets and database queries.
• Experience automating data extraction and reporting workflows.
• Familiarity with infrastructure capital planning and transportation policy analysis.
What Makes a Candidate Competitive
Candidates with the highest likelihood of consideration will demonstrate:
• Transportation or infrastructure sector analytics experience
• Strong econometric and statistical modeling capabilities
• Experience using Census, BLS, FRED, and USDOT datasets
• Advanced Excel and Power BI proficiency
• Python or R programming experience
• Strong report writing and executive presentation skills
• Ability to work independently in a fast-paced project environment
Port Authority of New York & New Jersey (PANYNJ) – Consultant Assignment
Location: World Trade Center, New York, NY (Hybrid – 4 Days Onsite)
Duration: 12-Month Assignment
Start Date: Immediate
Security Requirement: Must be eligible to obtain SWAC ID and Port Authority security clearance.
About the Opportunity
The Port Authority of New York & New Jersey is seeking an Economic Data Analyst to support strategic planning, transportation analysis, economic forecasting, and infrastructure investment decision-making across one of the nation's largest transportation agencies.
The successful candidate will combine strong quantitative analysis skills with transportation, economic, and demographic research expertise to develop data-driven insights supporting agency planning, capital investment analysis, and policy evaluation.
This role is ideal for early-career professionals with experience in economics, transportation planning, statistics, public policy analysis, or related analytical disciplines.
Key ResponsibilitiesData Collection & Quantitative Analysis
• Collect, organize, validate, and analyze large economic, demographic, and transportation datasets.
• Utilize public data sources including:
• U.S. Census Bureau
• Bureau of Labor Statistics (BLS)
• Federal Reserve Economic Data (FRED)
• U.S. Department of Transportation (USDOT)
• Identify and communicate trends impacting transportation demand, infrastructure investments, inflation, labor markets, and remote work patterns.
• Develop analytical datasets and dashboards using Excel, Power BI, and statistical software.
• Support automation of recurring data collection and reporting processes using Python or R.
• Perform statistical and econometric analysis to support planning initiatives and executive decision-making.
Research & Reporting
• Conduct qualitative and quantitative market research.
• Perform literature reviews and summarize research findings.
• Monitor economic releases and prepare analytical commentary.
• Produce reports, presentations, briefing materials, and executive summaries.
• Translate complex analytical findings into actionable business insights.
Required QualificationsEducation
• Bachelor's Degree in:
• Economics
• Statistics
• Finance
• Transportation Planning
• Public Policy
• Data Analytics
• Related quantitative discipline
Experience
• 1–3 years of professional experience in:
• Economic analysis
• Transportation analysis
• Statistical research
• Public sector analytics
• Infrastructure planning
Technical Skills
• Advanced Microsoft Excel
• Power BI
• Microsoft Word
• PowerPoint
• Microsoft Access
• R, Python, Stata, EViews, or similar analytical software
• Data visualization and reporting
Analytical Knowledge
• Statistics
• Econometrics
• Economic forecasting
• Benefit-Cost Analysis
• Economic Impact Analysis
• Transportation Activity Analysis
Preferred Qualifications
• Master's Degree in Economics, Statistics, Transportation Planning, Public Policy, Data Science, or related field.
• Experience supporting transportation agencies, infrastructure organizations, consulting firms, MPOs, airports, rail, transit, ports, or public-sector organizations.
• Experience working with large, complex datasets and database queries.
• Experience automating data extraction and reporting workflows.
• Familiarity with infrastructure capital planning and transportation policy analysis.
What Makes a Candidate Competitive
Candidates with the highest likelihood of consideration will demonstrate:
• Transportation or infrastructure sector analytics experience
• Strong econometric and statistical modeling capabilities
• Experience using Census, BLS, FRED, and USDOT datasets
• Advanced Excel and Power BI proficiency
• Python or R programming experience
• Strong report writing and executive presentation skills
• Ability to work independently in a fast-paced project environment






