Senior Transportation Data Analyst

Job Locations US-MA-Watertown | US-NC-Raleigh | US-FL-Orlando | US-NY-New York City | US-DC-Washington | US-GA-Atlanta
ID
2025-5479
Category
Technology
Type
Regular Full-Time
Career Stage Type
Experienced
# of Openings
1

Overview

ABOUT THE POSITION

Senior Transportation Data Analyst

Locations: Watertown, MA | Raleigh, NC | Orlando, FL | NYC | Washington DC | Atlanta, GA | Any additional office locations in VHB footprint

 

Are you a dedicated Senior Transportation Data Analyst looking to make a significant impact through cutting-edge technology and data-driven approaches? Join VHB's innovative Technology Enablement Team in a Senior Transportation Data Analyst position, where you'll work with a diverse team of engineers, scientists, planners, designers, and technologists. At VHB, we collaborate with government agencies to private businesses in transportation, real estate, institutional, and federal markets working collectively to enhance communities, stimulate economic growth, and promote environmental sustainability.

 

Step into a role where your analytical expertise and passion for innovation truly matter. At VHB, you’ll be empowered to drive meaningful change using data to uncover insights that shape smarter mobility, vibrant communities, and a sustainable future. This is more than just a job; it’s an opportunity to collaborate with top industry professionals and see your work make a real difference. Join VHB and turn your curiosity into community impact. Begin your rewarding journey with us today!

 

Key Responsibilities

  • Engage in big data-related projects across the multiple services VHB provides to our diverse client base
  • Mine and analyze complex structured/unstructured data sets using highly advanced statistical methods to help with data-driven decision making
  • Develop and maintain dashboards and websites that support large databases, facilitate complex search queries, and enhance various business functions leveraging probe data
  • Develop innovative approaches to modify and build new data processes, and build large, complex data sets ensuring data integrity and statistical accuracy.
  • Design, develop, test, validate, and analyze models and advanced algorithms to extract optimal value from the data
  • Develop and apply customized algorithms or models to key business metrics with the goal of improving operations or answering business questions. Implement automated processes for efficiently producing scalable models
  • Interpret results, predict future data trends and other data foresights, and propose strategic business solutions
  • Train and mentor the data management team and other VHB subject matter experts on new or updated procedures

Skills and Attributes

Data Management & Analysis:

  • Proficiency in managing large datasets and understanding data structures.
  • Statistical analysis experience
  • Prescriptive and predictive analysis for operations, planning, and decision making

Technical Skills:

  • Experience with tools and software such as Databricks, SQL, and data visualization platforms such as Power BI.
  • Working with large spatial and non-spatial datasets, API's, web services, cloud data platforms
  • Data manipulation skills using various scripting languages like Python or R.
  • Strong ETL process experience

Communication Skills:

  • Demonstrated ability to articulate, both verbally and in written form, complex technical concepts clearly and effectively to both technical and non-technical stakeholders

Industry Knowledge:

  • Experience with connected vehicle and cell phone data such as INRIX, RITIS, HERE, and TomTom
  • Awareness of industry-specific regulations and data privacy concerns

Certifications

  • Relevant certifications such as CDMP (Certified Data Management Professional) or equivalent
  • Databricks accreditation or certification

Minimum Qualifications

  • Minimum of 3+ years of experience with advanced analytics in the engineering/transportation industry specifically providing services to DOTs, transportation agencies and/or state and federal governments
  • Master’s degree in Data Science, Business Analytics, Computer Science, Statistics, Mathematics, or equivalent discipline
  • Applicants must be legally authorized to work for VHB in the U.S. without employer sponsorship

The base salary range for this position is $98,500 – 148,000 for the Washington, DC, New York City and Massachusetts locations. This offer is determined based on a number of job-related factors including internal comparators, skills, education, training, credentials, experience, scope and complexity of role responsibilities and geographic location. In addition, VHB offers a holistic benefits package which can be found here.

Job Banner_Technology_1000x295 

We are VHB! We’re an inspired and innovative team of engineers, scientists, planners, and designers who partner with clients in the transportation, real estate, institutional, and energy industries, as well as federal, state, and local governments. Our work helps improve mobility, enhance communities, and contribute to economic vitality. We do this while balancing development and infrastructure needs with stewardship of our environment. 

 

Our people make us great! VHB provides a differentiating employee experience, which includes: 

  • Diverse and inclusive culture of collaboration and innovation
  • Opportunity to work on complex, transformational projects
  • Community and social responsibility as sustainable stewards
  • Focus on learning, development, and career growth
  • Best-in-class benefits, including flexible, hybrid workplace  

We are consistently rated one of the top AEC firms to work for across our 30+ offices on the East Coast. We’re growing, and we hope you’ll join us! 

 

VHB is a proud Equal Opportunity Employer. Since our founding, we have intentionally fostered a culture of inclusion and belonging, supported by deep-rooted core values, one of which is diversity. Qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by law.

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