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.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. IIHS-HLDI participates in E-Verify.
Vehicle Information Analyst
The Highway Loss Data Institute (HLDI) seeks a Vehicle Information Analyst at our offices in Arlington, VA.
The Vehicle Information Analyst will work with our vehicle information team to collect and deliver vehicle information and VIN decoding services.
Primary Duties
- Collect features, specifications and VIN data related to automobiles, motorcycles and other insurable vehicles
- Utilize HLDI mission-critical processes and or applications to collect, track, log, process and quality-check vehicle information
- Create content for IIHS-HLDI websites, webinars and presentations
- Utilize SQL, Python and other tools to review, troubleshoot and analyze data issues and report findings
- Works with programmers to design and implement quality-control processes and tools
- Utilize HLDI applications to create, quality-check and deliver custom datasets in support of IIHS-HLDI projects and for member companies
Qualifications
- Bachelor’s plus five years of relevant experience in data analysis, data acquisition, and data entry, or master’s degree plus three years of relevant experience or a PhD.
- Strong analytical skills and attention to detail
- Strong written and verbal communication skills
- Ability to multitask and document work
- Team player who can adapt to changes in requirements and priorities
- Self-starter who is highly motivated and able to work independently
- An interest in highway safety and automobiles
Must be authorized or able to obtain authorization to work full time in the U.S. Position may be eligible for IIHS-HLDI-sponsored work visa.
To apply, email your cover letter, resume and salary requirements to
careers@iihs.orgProgrammer Analyst
The Highway Loss Data Institute (HLDI) seeks a Programmer Analyst at our offices in Arlington, VA.
The Programmer/Analyst will work with our vehicle information team to support the collection and delivery of vehicle information and VIN-decoding services.
Primary Duties
- Design, write and maintain web pages and web applications that deliver data to key constituencies
- Design, write and maintain programs and web applications in support of data collection, data analysis and quality control
- Design, write, and maintain HLDI mission-critical data-processing applications
- Designs, writes and maintains programs to extract and analyze datasets in support of IIHS-HLDI and member company research
Qualifications
- Bachelor’s plus five years of relevant experience in software and web programming, data analysis, data mining and developing data-processing tools, or master’s degree plus three years of relevant experience or a PhD.
- Strong analytical skills and attention to detail
- Strong written and verbal communication skills
- Ability to multitask and document work
- Team player who can adapt to changes in requirements and priorities
- Self-starter who is highly motivated and able to work independently
- An interest in highway safety and automobiles
Must be authorized or able to obtain authorization to work full time in the U.S. Position may be eligible for IIHS-HLDI-sponsored work visa.
To apply, email your cover letter, resume and salary requirements to
careers@iihs.orgData Analyst
The Insurance Institute for Highway Safety (IIHS) seeks a Data Analyst at our office in Arlington, VA.
The Data Analyst will be responsible for data management and will contribute to research studies at a variety of levels as part of a collaborative team of researchers and statisticians. Proficiency with SAS, serious attention to detail and strong communication and interpersonal skills are required.
Primary Duties
- Maintain and update national and state-level databases of motor vehicle crashes and registrations as well as other data collected by IIHS
- Respond to requests for data summaries from IIHS-HLDI colleagues and other organizations
- Support IIHS-HLDI researchers and statisticians with programming and analysis
- Conduct original research
Qualifications
- Bachelor’s degree or higher in statistics, data science, analytics or related field
- 2+ years of experience in data analysis/management using SAS (especially DATA step and macro programming); additional experience with R is a plus
- Attention to detail and strong organizational skills
- Strong writing, verbal and interpersonal skills
- Ability to work both independently and as part of a collaborative team
- An interest in highway safety and automobiles is a plus
Must be authorized or able to obtain authorization to work full time in the U.S. Position may be eligible for IIHS-HLDI-sponsored work visa.
To apply, email your cover letter, resume and salary requirements to
careers@iihs.orgThis link leads to the machine-readable files that are made available in response to the federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed amounts between health plans and healthcare providers. The machine readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data.