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Transportation Data Analyst Jobs in Utah (NOW HIRING)

Traeger Grills

Logistics Analyst

Salt Lake City, UT · On-site

How Success Is Measured Transportation performance is the scoreboard. Traeger's standard is OTIF ... Analyze shipment data at scale to identify trends and issues, recommend alternatives, and escalate ...

Traeger Grills

Logistics Analyst

Salt Lake City, UT · On-site

How Success Is Measured Transportation performance is the scoreboard. Traeger's standard is OTIF ... Analyze shipment data at scale to identify trends and issues, recommend alternatives, and escalate ...

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Transportation Data Analyst information

See Utah salary details

$31K

$75.2K

$123.8K

How much do transportation data analyst jobs pay per year?

As of Sep 1, 2026, the average yearly pay for transportation data analyst in Utah is $75,233.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $88,300.00 per year, depending on experience, location, and employer.

What is a transportation data analyst?

A Transportation Data Analyst collects, processes, and analyzes transportation-related data to improve efficiency, safety, and planning. They use tools like Excel, SQL, and Python to interpret traffic patterns, optimize routes, and evaluate infrastructure projects. Their insights help government agencies, logistics companies, and transit organizations make data-driven decisions. The role requires strong analytical skills, attention to detail, and knowledge of transportation systems.

What are the typical daily responsibilities of a transportation data analyst?

A Transportation Data Analyst’s daily responsibilities often include collecting, cleaning, and analyzing transportation-related datasets to identify trends or inefficiencies. You’ll develop reports and visualizations to communicate findings to both technical teams and management, and may be involved in designing or improving predictive models for traffic flow, route optimization, or safety analysis. Collaboration is common, as you’ll frequently work alongside transportation planners, engineers, and IT professionals to support data-driven decision-making. Activities may also include monitoring data quality, integrating new data sources, and staying current with industry best practices and regulatory changes.

What are the key skills and qualifications needed to thrive in the transportation data analyst position, and why are they important?

Success as a Transportation Data Analyst requires strong analytical ability, proficiency in data analysis, and a solid understanding of transportation systems, typically backed by a bachelor’s degree in a related field such as statistics, mathematics, or transportation engineering. Expertise in tools like SQL, Python, GIS software, and data visualization platforms, as well as familiarity with transportation planning models, is highly valued and sometimes supported by specialized certifications. Excellent communication, problem-solving, and collaboration skills enable analysts to translate complex data into actionable insights for varied stakeholders. These competencies are vital to ensuring informed decision-making and operational efficiency in transportation planning and management.

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

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

What job categories do people searching Transportation Data Analyst jobs in Utah look for?

The top searched job categories for Transportation Data Analyst jobs in Utah are:

Transportation Data Analyst jobs near you
Infographic showing various Transportation Data Analyst job openings in Utah as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $75,233 per year, or $36.2 per hour.

Data Analyst

Salt Lake City, UT • On-site

Utah Division of Human Resource Management
See more jobs at Utah Division of Human Resource Managementexternal

$33.96 - $54.07/hr

Full-time, Part-time

This job post has expired 3 days ago. Applications are no longer accepted.

Job description

Data Analyst
This Data Analyst role transforms multi-source transportation and operational data into actionable data-driven intelligence within a cloud environment. Key responsibilities include developing interactive dashboards, performing data analysis, and designing automated workflows. The ideal candidate will champion data literacy and leverage strong technical and communication skills to provide strategic, data-driven insights for stakeholders.
About the Role
Here is some important information about this position:
Salary Range: $33.96 - $54.07
FT/PT Status: Full Time
Background Check: You must successfully pass a criminal history check.
Schedule Code: B - Competitive Career Service (12 month probationary period)
Location: Calvin Rampton Building - 4501 South 2700 West, Taylorsville, Utah
Recruiter: Porter Cook I pccook@utah.gov I801-965-4164
Application Deadline: 8/28/2026
*This job posting may close at any time after the minimum advertising period of three (3) business days has passed, should a sufficient applicant pool be received. Applicants are encouraged to apply as early as possible.
Principle Duties
  • Data Extraction & Pipeline Integration: Collaborate with engineering teams to build, clean, and normalize large relational, spatial, and temporal datasets. Write and maintain structured SQL scripts and automated data workflows to ensure seamless data ingestion.
  • Business Intelligence & Visualization: Conceptualize, develop, and deploy high-impact dashboards, decision-support tools, and automated reports. Create intuitive visual analytics that allow operational staff and executive leadership to safely monitor performance indicators.
  • Collaboration & Communication: Act as a primary technical translator between central IT infrastructure teams and business-unit subject matter experts. Present data-driven findings, assumptions, and limitations clearly to non-technical leadership and business owners.
  • Statistical Analysis & Problem Framing: Partner with operational divisions to translate complex operational challenges into concrete analytical projects. Use statistical validation methods to identify underlying trends, quantify uncertainties, and evaluate project outcomes.
  • Data Governance & Compliance: Adhere strictly to the enterprise data governance framework, metadata management standards, and data quality procedures. Maintain data dictionaries, map data lineage, and ensure strict compliance with state and federal privacy standards regarding Personally Identifiable Information (PII).
  • Prototyping & Innovation: Participate in building "proof-of-concept" analytical models to test the viability of emerging data streams before full-scale deployment.

Requirements & Key Skills
Education:
  • A Bachelor's degree in Data Science, Statistics, Computer Science, Economics, Information Systems, Business Administration, or three (3)+ years of demonstrated relevant experience.

Technical:
  • Intermediate-to-Expert level demonstrated proficiency with SQL
  • Intermediate-to-Expert level demonstrated proficiency with statistical programming languages such Python
  • Proficiency using enterprise Business Intelligence platforms (such as Google Looker, Power BI, or Tableau)

Communication:
  • Exceptional verbal and written communication skills with a proven capability to write clean technical documentation and deliver engaging data stories.

Preferences
  • Conceptual and practical knowledge of descriptive statistics (experience with inference preferred)
  • Understanding of at least one BI platform and one enterprise cloud environment (one year preferred)
  • Recent technical project experience (two years and/or 3+ recent technical projects preferred)
  • Interpret technical language for nontechnical audiences (one year preferred)
  • Observe and diagnose data quality issues including inconsistencies, missing values, or structural problems across multiple sources (three years preferred)
  • SQL (two years preferred)
  • Institutional knowledge of transportation, government, or other public-sector background.
  • Translating business needs into logical problem statements (one year preferred, explain your role)
  • Yearning for professional growth and a strong commitment to supporting the Data team in advancing UDOT's mission.

Apply