Transportation Analytics Lead for Airport Ops & Forecasting

Dallas Fort Worth International Airport Board; United States; On-site; USD 90,000 - 130,000; Full time

Job summary

Dallas Fort Worth International Airport Board is seeking a data analytics professional to optimize parking and transportation operations through advanced modeling, forecasting, and BI dashboards.

You will build AI-driven forecasts, automate workflows, and present insights to executives to guide strategic decisions across the Transportation Business Unit. Collaboration with ITS and cross‑department teams is essential.

Qualifications

• Bachelor’s degree in a related field and 3+ years of analytics experience.
• Experience with predictive modeling, time series analysis, or ML is preferred.
• Ability to translate data insights for technical and non-technical stakeholders.

Responsibilities

• Develop quantitative analyses, predictive modeling, and AI-driven forecasting.
• Maintain dashboards and real-time insights with BI tools such as Tableau and Power BI.
• Automate data processing and analytics workflows using Python, SQL, or cloud solutions.
• Prepare leadership-ready reports and strategic recommendations for senior leaders.
• Collaborate with ITS and airport teams to integrate analytics into operations.

Skills

Statistical modeling

Predictive analytics

Machine learning

Data visualization

Communication with stakeholders

Project management

Data governance

Education

Bachelor's degree in Data Science, Computer Science, Business or related field

Master’s degree (Desirable)

Tools

Tableau

Power BI

MicroStrategy

Python

R

SQL

Job description

Dallas Fort Worth International Airport Board is seeking a data analytics professional to optimize parking and transportation operations through advanced modeling, forecasting, and BI dashboards.

You will build AI-driven forecasts, automate workflows, and present insights to executives to guide strategic decisions across the Transportation Business Unit. Collaboration with ITS and cross‑department teams is essential.