Industry Analyst

The Industry Analyst performs quantitative and qualitative research in support of a wide variety of projects related to the automotive industry and its extended ecosystem.

Specific responsibilities include, but are not limited to, the following:

  • Closely follow developments within the automotive industry and the overall economy
  • Conduct research and prepare reports
  • Acquire, analyze, describe, verify/validate, and present data
  • Assemble, organize, and maintain datasets for use in related data science
  • Participate in proposal teams and help to obtain funding from industry and government sources
  • Search, review, and summarize existing research literature; apply findings
  • Review and summarize text complex literature (e.g., federal regulations or policies) for a variety of audiences
  • Prepare results, including tabular and graphical presentations; write sections of research reports
  • Actively engage in project meetings
  • Collaborate effectively with other researchers within and outside CAR

Required Qualifications:

  • At least a bachelor’s degree in the fields of business, economics, engineering, data science, finance, public policy, or a related field
  • At least 2 years of experience after a bachelor’s degree in a research environment, or a master’s degree with active on-campus teamwork
  • Proven problem-solving skills with strong analytical capabilities
  • Quantitative and qualitative research training or experience
  • Proven ability to execute tasks and projects on time and with high quality
  • Familiarity with government and other data sources
  • Excellent interpersonal, communication, and teamwork skills
  • Ability to convey research findings clearly and effectively through written reports, charts, tables, and presentations
  • Attention to detail and fact-based analysis
  • A team player who can work across multiple functions and cultures effectively

Desired Qualifications:

  • Skilled in the methods and programming tools used to work with large datasets (e.g., those found at data.gov)
  • Proficient in the use of programming languages such as Python or R

 

To apply, please send a cover letter and resume to [email protected].

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, height, weight, marital status, protected disability, or other characteristics protected by law.