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Transportation Modeling Data Analyst Jobs (NOW HIRING)

Good understanding of Data Engineering concepts (ETL/ELT, data pipelines, data modeling, data warehousing). * Working knowledge of AWS services, particularly S3 * Strong analytical and problem ...

Detailed exposure to one or more of functional data requirements, data modeling, data cataloging ... Strong analytical, problem-solving skills * Strong organizational, multitasking, and prioritization ...

Data analyst responsibilities include conducting a full lifecycle analysis to include requirements ... models, database design development, data mining and segmentation techniques Strong knowledge of ...

Data Analyst

Alpharetta, GA ยท On-site +1

Data analyst responsibilities include conducting a full lifecycle analysis to include requirements ... data models, database design development, data mining and segmentation techniques โ€ข Strong ...

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Data Analyst

Las Vegas, NV ยท On-site

$25 - $35/hr

Data Analyst The data analyst will be responsible for importing, transforming, validating and modeling data with the purpose of understanding and drawing conclusions from the data in order to drive ...

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Data Analyst

Las Vegas, NV ยท On-site

$25 - $35/hr

Data Analyst The data analyst will be responsible for importing, transforming, validating and modeling data with the purpose of understanding and drawing conclusions from the data in order to drive ...

Senior Data Analyst

Baltimore, MD ยท Hybrid

$115K - $125K/yr

Advanced Excel skills (Power Query, complex formulas, modeling, data manipulation) * Experience with CPM/EPM software * Strong analytical and problem-solving capabilities * Ability to work cross ...

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Transportation Modeling Data Analyst information

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$34K

$82.6K

$136K

How much do transportation modeling data analyst jobs pay per year?

As of Sep 10, 2026, the average yearly pay for transportation modeling data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a transportation modeling data analyst?

A Transportation Modeling Data Analyst is a professional who collects, analyzes, and interprets data related to transportation systems. They build and use models to forecast traffic patterns, assess infrastructure needs, and inform planning decisions for roads, public transit, and other transportation networks. Their work helps governments and organizations optimize transportation efficiency, safety, and sustainability. Analysts typically work with large datasets and specialized software to perform their analyses, collaborating with engineers, planners, and policymakers.

What are the key skills and qualifications needed to thrive as a transportation modeling data analyst?

To thrive as a Transportation Modeling Data Analyst, you need strong analytical skills, statistical knowledge, and experience with transportation systems, often supported by a degree in civil engineering, urban planning, or a related field. Competence with modeling software such as TransCAD, VISUM, or Cube, and proficiency in data analysis tools like Python, R, or GIS, are typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These skills ensure accurate modeling, informed decision-making, and the successful implementation of transportation projects.

What are some typical challenges faced by transportation modeling data analysts when working with large datasets?

Transportation Modeling Data Analysts often encounter challenges related to managing and cleaning large, complex datasets that may come from multiple sources such as traffic sensors, GPS data, and public transit records. Ensuring data accuracy, consistency, and compatibility for modeling purposes requires strong attention to detail and advanced data processing skills. Additionally, analysts must collaborate closely with transportation planners and engineers to interpret data requirements and translate findings into actionable insights. Staying updated with the latest analytical tools and transportation modeling software is also crucial for success in this role.

What is the difference between Transportation Modeling Data Analyst vs Transportation Planner?

AspectTransportation Modeling Data AnalystTransportation Planner
Required CredentialsBachelor's in Urban Planning, Civil Engineering, or related; proficiency in data analysis toolsBachelor's or Master's in Urban Planning, Civil Engineering, or related; focus on planning strategies
Work EnvironmentData analysis, modeling, software tools, report generationField surveys, community engagement, policy development
Employer & Industry UsageTransportation agencies, consulting firms, government departmentsMunicipalities, regional planning organizations, government agencies

The Transportation Modeling Data Analyst primarily focuses on analyzing transportation data and creating models to inform decisions, while the Transportation Planner emphasizes developing transportation strategies and policies based on community needs. Both roles require similar educational backgrounds and often work within transportation agencies, but their daily tasks and focus areas differ significantly.

What cities are hiring for Transportation Modeling Data Analyst jobs?

Cities with the most Transportation Modeling Data Analyst job openings:

What are popular job titles related to Transportation Modeling Data Analyst jobs?

For Transportation Modeling Data Analyst jobs, the most frequently searched job titles are:

Infographic showing various Transportation Modeling Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Workforce Modeling & Data Analyst

Washington, DC โ€ข On-site, Remote

Golden Key Group
201 - 500 employees

Full-time

Re-posted 10 days ago


Key responsibilities

  • Review background documentation and workforce data to identify gaps and document sources, assumptions, limitations, and methodologies.

  • Develop staffing tables, summarize growth and surge requirements, and prepare dashboards, briefing materials, and analytic narratives to support workforce planning and analysis.

  • Support analysis of workforce demographics, attrition, retirement projections, hiring trends, skills gaps, geographic staffing challenges, and labor market conditions to produce data-informed deliverables.


Job description

About GKG

With a passion for excellence, Golden Key Group (GKG) helps clients solve their strategic, organizational, and operational challenges to better meet their mission demands.ย  We have serviced more than 25 Federal departments and agencies and several large commercial companies since our inception in 2002.

Golden Key Group's talented professionals, combined with our strategic partners, bring a depth of commercial and government experience and expertise.ย  We are relentless in delivering the highest levels of services to provide tangible value and create sustainable results for our clients.

Overview

The Workforce Modeling & Data Analyst will serve as a mid to senior-level analytic resource supporting development of the Human Capital Strategic Plan, Human Capital Operating Plan, and Workforce Growth Plan. The analyst will interpret workforce staffing model data, historical workforce information, predictive analytics outputs, labor market inputs, and stakeholder-provided information to develop annual staffing targets, workforce projections, dashboards, and model-driven analytic products. This role will translate data into practical workforce planning insights that support staffing targets, surge and readiness requirements, workforce growth recommendations, performance monitoring, and senior leadership decision-making.

The selected individual will have the option to work remotely however will need to be local for onsite mandatory meetings in D.C.

Note** This position is being recruited in support of potential future contract awards, and qualified candidates may be considered for upcoming opportunities supporting federal government clients.

Responsibilities

The analyst will review background documentation and workforce data, identify gaps in available information, and document sources, assumptions, limitations, and methodologies used in the analysis. The analyst will develop staffing tables by job category and year, summarize planned growth and surge requirements, and prepare dashboards, briefing materials, and analytic narratives that support the Workforce Growth Plan, the environmental scan and workforce analysis sections of the HCSP, and the metrics and workforce risk elements of the HCOP. The analyst will also support analysis of workforce demographics, attrition and retirement projections, hiring trends, skills gaps, geographic staffing challenges, labor market conditions, and other factors needed to produce actionable, measurable, data-informed deliverables.

Qualifications
  • The minimum qualifications for this role include a bachelor's degree in human capital analytics, workforce planning, statistics, economics, public administration, business analytics, data science, industrial-organizational psychology, human resources, or a related discipline.
  • The candidate should have mid to senior-level experience supporting workforce analytics, workforce planning, staffing projections, data visualization, organizational planning, or related human capital analysis.
  • The candidate must be able to analyze workforce information, develop tables and dashboards, document analytic assumptions, and convert data findings into executive-ready planning recommendations.
  • Familiarity with federal human capital programs, staffing, recruitment, retention, workforce planning, or mission support operations is strongly preferred. The candidate must be a U.S. citizen and able to complete required suitability or security screening before accessing sensitive but unclassified information.
Desired Qualifications
  • The ideal candidate will hold a master's degree in analytics, workforce planning, public administration, human resources, organizational development, industrial-organizational psychology, statistics, or a related field.
  • The ideal candidate will have senior-level experience supporting federal workforce planning or human capital strategy engagements, including development of annual and multi-year workforce projections for complex organizations.
  • Experience using predictive analytics, trend analysis, attrition modeling, retirement eligibility analysis, labor market analysis, scenario planning, Power BI, Tableau, Excel, statistical software, or comparable visualization and analytic tools is highly desirable.
  • Experience supporting law enforcement, DHS, national security, or other federal operational workforce environments would further strengthen alignment to the solicitation.
Employment Type: FULL_TIME