Heading
Hartford, CT
Internship
Hybrid
Intern
The Hartford is an insurance company committed to making a difference and fostering an inclusive environment. As an Analytics Intern, you will apply data and analytical thinking to solve real business challenges while gaining hands-on experience in analytics, business intelligence, and data-driven decision-making.
Apply NowResponsibilities
- Analyze structured and unstructured data to identify trends, patterns, and actionable insights
- Translate business questions into analytical approaches and data requirements
- Develop dashboards, reports, and visualizations using tools such as Power BI or Tableau
- Perform exploratory data analysis, statistical analysis, or experimentation (e.g., A/B testing)
- Track and report on key performance indicators (KPIs) to support business performance
- Collaborate with stakeholders across functions such as underwriting, claims, finance, or operations to solve real-world business challenges
- Leverage AI tools (e.g., Copilot, ChatGPT) to enhance productivity, accelerate analysis, and generate insights
- Explore how AI and automation can improve decision-making and operational efficiency
- Present insights and recommendations to business partners and leadership
Qualification
Required
- Undergraduate or graduate students expecting to graduate in May 2028 with a bachelor's or master's degree and a GPA of 3.0 or higher
- Desired majors include, but are not limited to: Management Information Systems, Data Analytics, Applied Mathematics, Economics, Industrial Engineering, Operations Research, Informatics, Statistics, or other STEM-related and/or analytical majors
- Strong analytical, problem-solving, and critical thinking skills
- Strong communication and collaboration skills
- Curiosity and willingness to learn new technologies and approaches
- Ability to translate data into meaningful insights to support business decisions
- Commitment to ethical decision-making and responsible use of data
- Experience with data analysis tools or programming languages (e.g., SQL, Python, R)
- Familiarity with data visualization tools (e.g., Power BI, Tableau)
- Exposure to statistics, regression analysis, or experimentation (A/B testing)
- Experience with data wrangling and data preparation techniques
- Familiarity with business intelligence concepts such as KPIs and dashboards
- Familiarity with generative AI tools (e.g., Copilot, ChatGPT) and interest in applying them to analytics use cases
Preferred
Benefits
- Mentorship, coaching, and feedback to support your growth
- Networking opportunities with peers, leaders, and early career professionals
- Participation in community engagement and employee experience events
- Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition