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Job Description

The Virginia State Police is seeking a CMV Data Analyst to support the Special Compliance Enforcement Division in Richmond, Virginia. In this onsite role, you will help collect, analyze, and transmit commercial motor vehicle (CMV) crash and infrastructure data, then translate it into reports, visualizations, and analyses that support FMCSA work.

Working closely with internal staff and federal partners, you will contribute to understanding crash causal factors tied to large truck and bus safety through direct support of the FMCSA Crash Causal Factors Program (CCFP).

Role Focus

  • Collect, analyze, and transmit CMV crash and infrastructure data to the Federal Motor Carrier Safety Administration (FMCSA) to identify trends, risks, and improvement opportunities.
  • Apply analytical methods to produce clear reports and visualizations while maintaining data quality.
  • Evaluate key crash factors in collaboration with internal staff and federal partners.
  • Support the FMCSA Crash Causal Factors Program (CCFP) to improve understanding of causes of large truck and bus crashes.

Key Responsibilities

  • Support CMV operations by delivering crash and infrastructure data for trend and risk analysis.
  • Ensure datasets are accurate by validating and analyzing large, complex data for inconsistencies and other quality issues.
  • Create reports, dashboards, and visualizations that communicate findings effectively.
  • Prepare and deliver analytical findings to both technical and non-technical audiences.

Required Knowledge and Skills

  • Knowledge of trucking and transportation regulations, operations, and safety practices.
  • Knowledge of CMV compliance standards, including driver hours of service and vehicle inspection and crash reports.
  • Knowledge of statistical, analytical, and quantitative methods.
  • Knowledge of record and data security practices.
  • Proficiency with computers and applicable software.
  • Ability to analyze, interpret, and validate large complex datasets.
  • Ability to create data visualizations and dashboards using Tableau and Power BI.
  • Ability to use programming languages including SQL, Python, or R.
  • Critical thinking and problem-solving skills applied to CMV safety risk evaluation.
  • Ability to identify trends, inconsistencies, and process improvement opportunities.
  • Ability to collect, review, and analyze qualitative and quantitative data independently.
  • Ability to collaborate with federal researchers, data professionals, sworn staff, and other internal and external contacts.

Education

  • Graduation from high school or equivalent.

Preferred Experience

  • Experience or training in data analysis, statistics, transportation safety, research, program evaluation, or a related field.
  • Experience in vehicle safety and crash analysis.
  • Experience using analytical tools such as Tableau, Power BI, SQL, Python, or R in a transportation or public safety environment.

Technologies

  • Tableau
  • Power BI
  • SQL
  • Python
  • R

Compensation and Location

  • Location: Richmond, VA (onsite)
  • Salary: USD 67,578 - 97,313 per yearly

Application and Selection Process

  • After submitting your application and/or résumé, you will receive a confirmation of receipt.
  • Selection includes screening applications, interviewing qualified candidates, and may include pre-employment testing, a presentation and/or work sample (if applicable), salary negotiation (if applicable), a background investigation, and a medical evaluation (if applicable).
  • Applications, cover letters, and/or résumés must be submitted online through the PageUp recruitment management system at https://jobs.virginia.gov and received by 11:55 P.M. on November 6, 2026.
  • Limit résumés to four pages and cover letters to one page. Additional attachments beyond these limits will not be considered.
  • For questions, contact [email protected].

Inclusion and Alternative Hiring Considerations

  • Individuals with disabilities are encouraged to apply through the alternative hiring process.
  • Applicants who received a Certificate of Disability from DARS or DBVI dated between April 1, 2022 and February 29, 2024 can use that COD as applicable documentation.

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