Market Research Intern (Insurance)

Location: Onsite in Addison, TX or Montpelier, VT; expected in the office four days per week on Monday through Thursday.

Hourly pay: $19–$28 USD

Company

hirify.global is an insurance company founded in 1848 that provides life insurance and annuity products.

What you will do

• Analyze consumer demographic, survey, and qualitative interview data to identify trends and insights.
• Support market sizing and segmentation analyses across products, markets, and customer segments.
• Analyze sales performance data to identify performance drivers and improvement areas.
• Conduct competitive and industry research for marketing and strategy initiatives.
• Develop presentations and reports that communicate insights to stakeholders.
• Translate research findings and data into actionable business recommendations.

Requirements

• Currently pursuing a bachelor’s degree in marketing, business, economics, statistics, data analytics, or a related field.
• Experience with data analysis tools such as advanced Excel functions, Tableau, Power BI, or R.
• Familiarity with surveys, interviews, and focus groups.
• Prior internship or project experience involving data analysis or research.
• Strong analytical, problem-solving, communication, organizational, and collaboration skills.
• Visa sponsorship is not available for this position.

Nice to have

• Interest in financial services, insurance, or consumer behavior.
• Ability to work independently while collaborating effectively with cross-functional teams.

Culture & Benefits

• 10-week paid internship from June 1 through August 6.
• Formal orientation, onboarding, mentoring, and networking with peers and leaders.
• Cross-departmental enterprise project presented at a company-wide event.
• Presentation coaching and learning opportunities throughout the program.
• Eligible positions may include medical, financial, 401(k), vacation, sick time, and parental leave benefits.
• Associates are expected to use approved AI tools responsibly while maintaining accuracy, fairness, confidentiality, and data security.