Transportation Planner II – Automated Transportation Systems Planning

North Central Texas Council of Governments; Arlington (TX); On-site; USD 54,000 - 65,000; Full time

Job summary

An established industry player is seeking a Transportation Planner to innovate transportation solutions for the North Central Texas region. This role involves analyzing data for advanced transit systems, conducting safety and traffic analyses, and preparing technical reports. The ideal candidate will thrive in a collaborative environment, utilizing their analytical skills to contribute to sustainable development and transportation safety initiatives. Join a team dedicated to regional growth and innovation, where your contributions will shape the future of transportation in the Dallas-Fort Worth area.

Qualifications

• Bachelor's degree in analytical or quantitative methods required.
• Minimum one year of relevant work experience.

Responsibilities

• Collect and analyze data related to advanced transit modes.
• Assist in identifying automated transportation planning solutions.
• Conduct technical safety and traffic analyses.

Skills

Microsoft Word

Microsoft Outlook

Microsoft PowerPoint

Microsoft Excel

Geographic Information Systems (GIS)

Critical-thinking

Problem-solving

Analytical skills

Technical skills

Effective communication

Education

Bachelor’s degree in analytical or quantitative methods

Job description

Transportation Planner II – Automated Transportation Systems Planning

Join to apply for the Transportation Planner II – Automated Transportation Systems Planning role at North Central Texas Council of Governments.

Overview

The Transportation Department of the North Central Texas Council (NCTCOG) is seeking a Transportation Planner to support the development and implementation of strategies for innovative transportation solutions related to transit and automated transportation systems, including economic development, sustainable development, transportation safety, rail, and air quality initiatives. Interested applicants should apply online at https://www.nctcog.org/Careers. Please include a cover letter summarizing relevant work experience and a current resume.

Responsibilities

• Collect, compile, and analyze data related to advanced transit modes, micro transit, and transportation system planning studies to support next-generation automated people mover and goods movement systems.
• Assist in identifying efficient automated transportation planning solutions for the North Central Texas region.
• Analyze data for emerging transportation technologies.
• Conduct technical safety, operations, and traffic analyses and present findings.
• Maintain data for transportation planning activities, including mapping and analysis.
• Prepare and deliver oral presentations.
• Draft technical reports, correspondence, and other documents.
• Update content for automated transportation systems webpages.
• Attend meetings, events, and workshops.

Required Skills

• Proficiency with Microsoft Word, Outlook, PowerPoint, and Excel.
• Functional knowledge of Geographic Information Systems (GIS) with map creation skills.
• Strong critical-thinking, problem-solving, analytical, and technical skills.
• Ability to work independently and collaboratively.
• Effective verbal and written communication skills.
• Detail-oriented, highly organized, capable of managing multiple tasks under deadlines.

Minimum Qualifications

• Bachelor’s degree in analytical or quantitative methods.
• At least one year of relevant work experience.

Additional Information

FLSA: Exempt.

Starting salary range: $54,009 - $64,810.80 annually.

The NCTCOG is dedicated to regional development and serves as the Metropolitan Planning Organization for transportation in the Dallas-Fort Worth area. We offer a supportive environment that fosters growth, responsibility, and innovation. We welcome veterans and are committed to equal employment opportunity. All candidates must pass a pre-employment background check and drug screening, and be authorized to work in the U.S. via E-Verify.