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Transportation Modeling Data Analyst Jobs (NOW HIRING)

Data Warehousing, Data Modeling, Data Structures * Data Mapping, Data Analysis * Data Governance, Data Architecture, Data Glossary * Experience with manufacturing / plant / industrial data (highly ...

$63K - $80K/yr

Lead advanced data analytics, statistical modeling, data mining, and predictive decision-support activities for AMCOM SCMD. * Design, build, and deploy advanced analytical models to forecast supply ...

Activities: data modeling, data audit, detailed data design, define rules, establish master data solutions, define hierarchies and affiliations, distribute reference and master data, profile, analyze ...

This role serves as the analytical engine behind transportation strategy, transforming complex ... Develop and maintain dashboards, data models, and automated reporting solutions using Power BI and ...

This role serves as the analytical engine behind transportation strategy, transforming complex ... Develop and maintain dashboards, data models, and automated reporting solutions using Power BI and ...

As a data analyst, you will be responsible for compiling actionable insights from data and ... Logistic Regression, Classification models, Cluster Analysis, Neural Networks, Random Forests ...

This role serves as the analytical engine behind transportation strategy, transforming complex ... Develop and maintain dashboards, data models, and automated reporting solutions using Power BI and ...

Senior Data Analyst

Huntsville, AL · On-site

$89K - $112K/yr

ProLog, Inc. is seeking a Senior Data Analyst to lead data analytics and predictive modeling efforts supporting the U.S. Army Aviation and Missile Command (AMCOM) Logistics Center (ALC) Supply Chain ...

... improving transportation and transportation safety. This role involves working on innovative ... Apply modeling and statistical techniques to identify, analyze, and interpret patterns and trends.

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Transportation Modeling Data Analyst information

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$34K

$82.6K

$136K

How much do transportation modeling data analyst jobs pay per year?

As of Sep 11, 2026, the average yearly pay for transportation modeling data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a transportation modeling data analyst?

A Transportation Modeling Data Analyst is a professional who collects, analyzes, and interprets data related to transportation systems. They build and use models to forecast traffic patterns, assess infrastructure needs, and inform planning decisions for roads, public transit, and other transportation networks. Their work helps governments and organizations optimize transportation efficiency, safety, and sustainability. Analysts typically work with large datasets and specialized software to perform their analyses, collaborating with engineers, planners, and policymakers.

What are the key skills and qualifications needed to thrive as a transportation modeling data analyst?

To thrive as a Transportation Modeling Data Analyst, you need strong analytical skills, statistical knowledge, and experience with transportation systems, often supported by a degree in civil engineering, urban planning, or a related field. Competence with modeling software such as TransCAD, VISUM, or Cube, and proficiency in data analysis tools like Python, R, or GIS, are typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These skills ensure accurate modeling, informed decision-making, and the successful implementation of transportation projects.

What are some typical challenges faced by transportation modeling data analysts when working with large datasets?

Transportation Modeling Data Analysts often encounter challenges related to managing and cleaning large, complex datasets that may come from multiple sources such as traffic sensors, GPS data, and public transit records. Ensuring data accuracy, consistency, and compatibility for modeling purposes requires strong attention to detail and advanced data processing skills. Additionally, analysts must collaborate closely with transportation planners and engineers to interpret data requirements and translate findings into actionable insights. Staying updated with the latest analytical tools and transportation modeling software is also crucial for success in this role.

What is the difference between Transportation Modeling Data Analyst vs Transportation Planner?

AspectTransportation Modeling Data AnalystTransportation Planner
Required CredentialsBachelor's in Urban Planning, Civil Engineering, or related; proficiency in data analysis toolsBachelor's or Master's in Urban Planning, Civil Engineering, or related; focus on planning strategies
Work EnvironmentData analysis, modeling, software tools, report generationField surveys, community engagement, policy development
Employer & Industry UsageTransportation agencies, consulting firms, government departmentsMunicipalities, regional planning organizations, government agencies

The Transportation Modeling Data Analyst primarily focuses on analyzing transportation data and creating models to inform decisions, while the Transportation Planner emphasizes developing transportation strategies and policies based on community needs. Both roles require similar educational backgrounds and often work within transportation agencies, but their daily tasks and focus areas differ significantly.

What cities are hiring for Transportation Modeling Data Analyst jobs?

Cities with the most Transportation Modeling Data Analyst job openings:

What are popular job titles related to Transportation Modeling Data Analyst jobs?

For Transportation Modeling Data Analyst jobs, the most frequently searched job titles are:

Infographic showing various Transportation Modeling Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Manufacturing Data Analyst

Plano, TX • On-site

Ascentt
IT Services • 11 - 50 employees

Full-time

Re-posted 11 days ago


Job description

Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We're hiring passionate builders to shape the future of industrial intelligence.
Role Overview
Are you someone who thrives at the intersection of data and real-world operations?
We're looking for a Manufacturing Data Analyst / Senior Data Analyst to drive a large-scale data transformation initiative across manufacturing plants-working directly on the ground where impact truly happens.
What You'll Do
  • Work on-site at manufacturing plants to understand operations firsthand
  • Map and analyze plant operations, shop floor, and production data
  • Conduct current-state assessments and build data glossaries
  • Partner closely with business stakeholders, plant teams, and leadership
  • Identify high-impact, quick-win opportunities (micro-transformations)
  • Act as a trusted data consultant, not just a developer

What We're Looking For
  • 6+ years of experience in data-focused roles
  • Strong foundation in:
    • Data Warehousing, Data Modeling, Data Structures
    • Data Mapping, Data Analysis
    • Data Governance, Data Architecture, Data Glossary
  • Experience with manufacturing / plant / industrial data (highly preferred)
  • Strong consultative skills: stakeholder management, process mapping, requirements gathering, data strategy
  • Ability to translate complex data into simple business language

Tools & Technologies (Must Have)
SQL, Python, Power BI / Tableau, Snowflake, Azure / AWS, ETL, Data Pipelines
Industry Experience (Important)
Manufacturing, Automotive, Industrial, Supply Chain, Production, Heavy Industry
Nice-to-Have
Lean Manufacturing, Six Sigma, IIoT, Smart Factory, Industry 4.0
Location & Travel
  • Highly on-site role
  • Preferred: Kentucky, Indiana, North Carolina (Raleigh)
  • Open to candidates willing to travel frequently or relocate

Why This Role?
This isn't a typical data role.
You'll be:
  • Building trust with plant teams
  • Driving real transformation from the ground up
  • Acting as a bridge between data strategy and shop-floor execution