Careers


The Insurance Institute for Highway Safety (IIHS) is an independent, nonprofit scientific and educational organization dedicated to reducing deaths, injuries and property damage from motor vehicle crashes through research and evaluation and through education of consumers, policymakers and safety professionals.

The Highway Loss Data Institute (HLDI) shares and supports this mission through scientific studies of insurance data representing the human and economic losses resulting from the ownership and operation of different types of vehicles and by publishing insurance loss results by vehicle make and model.

Both organizations are wholly supported by auto insurers and insurance associations.

Compensation consists of a competitive salary and a 403(b) retirement plan with employer contributions. Other benefits include health insurance (with dental and vision coverage), life insurance, medical and dependent care flex spending accounts and three weeks of paid vacation in your first year.

IIHS-HLDI participates in E-Verify.


Data Analyst

The Highway Loss Data Institute (HLDI) seeks a Data Analyst at our offices located in Ruckersville, Virginia, 12 miles north of the city of Charlottesville.

HLDI uses SQL Server as our data environment and operates a server farm with more than 50 terabytes of storage space. We analyze the insurance records of over 200 million vehicles to quantify the benefits of lifesaving and cost-reducing technologies and to explain how insurance costs vary from vehicle to vehicle. The Data Analyst will be part of a diverse team having a variety of skills and backgrounds.

Primary duties

  • Perform statistical evaluations of incoming and outgoing datasets
  • Create automated assessment tools that monitor data quality and system performance
  • Create data analytics tools to monitor federal databases for vehicle recalls and vehicle complaints
  • Provide support to the data production team in all aspects of data acquisition, processing and quality control
  • Design and write programs to extract and analyze large datasets for HLDI member companies and for our research analysts and statisticians

Qualifications

  • Proficiency in data mining, data analytics and developing data quality control tools using statistical or other programming languages and technologies such as SQL/T-SQL, Python, R, C++ or .Net (ASP.net, VB.net, C#)
  • Bachelor’s degree or higher in a related field and coursework relevant to data analytics, data management, data science and/or programming experience in support of business functions
  • Ability to multitask and document work
  • Team player who can adapt to changes in requirements and priorities
  • Self-starter who is highly motivated
  • Strong written and verbal communication skills
  • Strong analytical skills and attention to detail
  • Ability to evaluate and quality check large datasets
  • An interest in highway safety and automobiles

To apply, email your resume and salary requirements to

[email protected]

Research Analyst

The Highway Loss Data Institute (HLDI) seeks an experienced Research Analyst to join our research team in Arlington, VA.

The Research Analyst will lead research projects that rely on statistical techniques to analyze vast amounts of insurance data. Previous HLDI studies include some of the first evaluations of collision avoidance technologies, evaluations of the effect of marijuana legalization on insurance claim frequency and analyses of the effectiveness of antilock braking systems on motorcycles.

Primary duties

  • Identify highway safety and/or insurance issues to research, formulate research questions and produce project plans
  • Analyze records of over 400 million vehicles to quantify the benefits of lifesaving and cost-reducing technologies and to explain how insurance costs vary from vehicle to vehicle
  • Produce published reports and serve as a primary resource on alternative analytical procedures
  • Present findings to technical and nontechnical audiences including high-level executives
  • Represent HLDI and IIHS to insurance companies and at meetings of roadway safety professionals

Qualifications

  • Graduate degree in a quantitative field such as statistics, mathematics, machine learning, etc., with prior applicable experience preferred
  • Advanced analytical skills and demonstrated knowledge of statistical distributions and modeling techniques
  • Experience with databases and record sets with millions of records
  • Proficiency with statistical modeling tools and one or more programming languages (SAS and SQL skills strongly preferred)
  • Attention to detail and problem-solving abilities are essential
  • Capable of working independently with minimal supervision and as part of a team
  • Excellent written and verbal communication skills
  • An interest in highway safety and automobiles

To apply, email your resume and salary requirements to

[email protected]