What are the responsibilities and job description for the Senior Data Analyst- Travel Demand Modeler position at Houston-Galveston Area Council?
About Houston-Galveston Area Council
The Houston-Galveston Area Council is one of the largest regional planning commissions in the country with a diverse service area of 13 counties and more than7million people. We are the pulse of our region addressing issues that cross city limits and county lines every single day.
We make decisions that affect our transportation system, ensure the safety and well-being of our seniors, connect people to jobs, help families recover from natural disasters, preserve water quality for our children, and so much more. We work to make the region a great place to live, work, and thrive.
What will I bedoing?
üManage and update H-GAC multilayer models. Models include the activity-based model, 4-step travel demand model (TDM), dynamic traffic simulation model (DTA) and micro-simulation model.
üProvide modeling support for corridor planning studies, sub-area planning studies and special planning studies.
üDemonstrated expertise and experience in TDM validation and calibration.
üAssist in researching and developing modeling features related to emerging transportation technologies, transformative modes, and shared mobilities.
üPrepare advanced technical information and effectively communicate that information to external and internal audiences orally, in writing, and in presentations.
KeyQualifications
üTechnical expertise in one or more transportation modeling software programs : Bentley (Citilabs) CUBE VOYAGER, TransCAD, PTV VISUM, VISSIM, VISTRO and Synchro.
üKnowledge of data analysis and visualization software : GIS or Tableau.
üAbility to plan, organize and manage the technical components of a travel demand modeling project.
Do you have...
üBachelor's degree in an applicable academic discipline orrelatedfield of study.
ü5years of experienceworking with local government, nonprofit programs, school or in job related duties.
Preferred qualifications
ü Master's degree in (urban) planning, transportation engineering or a related field of study on traffic forecast modeling.
üHands-on experience in Python or R.
üFamiliarity with GIS and experience working with and visualizing spatial data.