Tech & Data Program Summer 2027 - 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 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 Our internship program is designed as a pipeline for future full-time opportunities. High-performing interns may be considered for full-time roles within The Hartford's Technology & Data organization. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Our Culture | What It's Like to Work Here | Perks & Benefits The Hartford