Transportation Data Analytics Lead — Hybrid, Impactful Mobility

Vanasse Hangen Brustlin Inc.; Orlando (FL); Hybrid; USD 130,000 - 175,000; Full time

Benefits offered by this job

Hybrid work model

401(k) plan

Medical, dental, vision insurance

Wellness programs

Tuition reimbursement

Recognition programs

Job summary

Vanasse Hangen Brustlin Inc. seeks a Transportation Data Analytics Lead to drive data-driven transportation solutions within a hybrid, office-and-field setting.

You will lead analytics initiatives, manage teams, and guide data platforms to support client decisions for public and private sectors. The role requires 8+ years in transportation analytics, a master’s degree, and strong experience with Databricks, SQL, Python, and BI tools.

Qualifications

• 8+ years in advanced analytics within transportation or similar engineering context.
• Master’s degree or equivalent in data science, analytics, or engineering field.
• Experience with DOTs/transportation agencies is a plus.
• Authorized to work in the U.S. without sponsorship.

Responsibilities

• Lead enterprise-wide transportation data analytics initiatives and align with client objectives.
• Mentor teams of data analysts and technical specialists.
• Oversee data architecture, ETL, governance, and quality across datasets.
• Develop dashboards, web apps, and data platforms for analytics and client solutions.
• Lead models for predictive and prescriptive transportation planning.
• Drive innovation with new analytics methods and automation.
• Translate analyses into strategic recommendations for executives and clients.
• Collaborate with cross-functional teams to deliver integrated solutions.

Skills

Large-scale analytics leadership

Statistical analysis

Data governance frameworks

Databricks

SQL

Power BI

Python

APIs

Education

Master's degree or equivalent in Data Science/Engineering/Analytics

Tools

Databricks

SQL

Power BI

Cloud data platforms

Python

Job description

Vanasse Hangen Brustlin Inc. seeks a Transportation Data Analytics Lead to drive data-driven transportation solutions within a hybrid, office-and-field setting.

You will lead analytics initiatives, manage teams, and guide data platforms to support client decisions for public and private sectors. The role requires 8+ years in transportation analytics, a master’s degree, and strong experience with Databricks, SQL, Python, and BI tools.