Tech & Data Program Summer – Analytics Intern; Hartford

Student Intern - HHSIAN

We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.

Tech & Ops Program Summer 2027 – Analytics Intern

Program Overview

At The Hartford, we foster an inclusive and collaborative environment where every voice is valued, and every idea can make an impact. Our culture is built on integrity, innovation, and a strong customer-first mindset.

As an Analytics Intern, you will apply data and analytical thinking to solve real business challenges. You'll work at the intersection of business and technology—using data to uncover insights, influence decisions, and drive measurable outcomes across the organization.

If you enjoy solving problems with data and turning insights into action, this role is for you.

About the Experience

This immersive summer program within The Hartford's Technology, Data, AI, and Operations organization provides hands-on experience in analytics, business intelligence, and data-driven decision-making.

As part of our growing investment in AI and advanced analytics, interns will explore how technologies such as generative AI, machine learning, and automation are transforming business operations, customer experience, and decision-making.

You'll gain real-world experience working with data, collaborating with business partners, and delivering insights that matter. You will engage in meaningful work, mentorship, and experience with an emphasis on professional growth and development, and networking opportunities.

This role is a hybrid position in Hartford, CT. Candidates must be authorized to work in the US without company sponsorship now or in the future.

What You'll Gain

• Hands-on experience applying analytics and data-driven decision-making to real business problems
• Exposure to business intelligence, data visualization, and performance analytics
• Opportunities to work with modern tools and technologies, including SQL, Power BI, and AI platforms (e.g., Copilot)
• 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

Ways You'll Learn, Grow, and Contribute

Depending on your role and project assignments, your experience may include:

• 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

Required Qualifications

• 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 and exposure to some or all of the following:
• Experience with data analysis tools or programming languages (e.g., SQL, Python, R)
• Familiarity…