2027 Early Careers: Analyst, Data Office: Business Intelligence - United States, Multiple Cities

AIG is reimagining the way we help customers manage risk. Join us as an Analyst in the Data Office Business Intelligence department to play your part in that transformation with opportunities to learn and grow your skills and experience as a valued member of the team.

About Us At AIG, helping organizations and people discover new potential is our purpose. As a global risk leader, we do this for our clients every day. Through our deep expertise in their industries and our innovative solutions that help them smartly manage risk, we enable their growth in ways they never thought possible. But we also do the same thing for our colleagues, because we know our people are our greatest strength – the source of every insight, every idea and every innovation. When we're working as one team to do what's right for our colleagues and our communities, we can achieve excellence together. We encourage colleagues to give back to the causes they care most about, supporting these efforts through our Volunteer Time Off and Matching Grants Programs. Make your mark in Business Intelligence AIG provides innovative insurance solutions across Financial Lines, Property, Casualty, Specialty Lines, Cyber, Multinational Clients, and High Net Worth individuals. As we continue to reimagine how we help customers manage risk, we are transforming our operating model and reshaping role responsibilities and career pathways to better support the future of our business. Central to this evolution is our commitment to leveraging business intelligence to unlock the full potential of every colleague, empowering our people to grow as insurance professionals while delivering greater value to our customers and AIG. By transforming data into trusted, enterprise-scale insights, our Business Intelligence team enables smarter decision-making, advances self-service analytics, and accelerates organizational value across the enterprise. How you will make an impact When you join AIG, you will be part of a connected cohort community of early career talent participating in a program that equips you with learning experiences and skills needed to launch your career. From day one, you will develop your knowledge and understanding of AIG and the insurance industry and learn new skills through meaningful on-the-job experiences and instructor-led masterclasses. Through exposure to senior leaders, mentoring circles, networking and volunteering, you will build connections with colleagues across the organization. Collectively, these different experiences are designed to enable you to make an impact and build a rewarding and successful career. Business Intelligence Rotation Overview DOAP is leading 24-month Business Intelligence rotation program that recruits high potential individuals from top universities. Throughout the program, DOAP – Business Intelligence participants will develop a breadth and depth of skills and capabilities through three 8-month rotations, that gives you the opportunity to work in the Business Intelligence team that helps you understand the intersection of data, technology, and business strategy. You will gain hands-on experience developing analytics solutions that help leaders make informed decisions. You will collaborate with business partners, data engineers, architects, and analytics professionals to solve real-world business challenges using data. DOAP participants will graduate from the program into a full-time role within the Data Office. DOAP participants can immerse in during the rotation. Areas of Experience: Business Intelligence Delivery: Design and develop interactive dashboards, reports, and visualizations that help business leaders monitor performance, identify trends, and make data-driven decisions. Gain experience with modern BI platforms, reporting standards, and data storytelling techniques. Develop insightful and fit-for-purpose reporting and visualizations while gaining hands-on experience with a broad spectrum of business intelligence and analytics tools. During this rotation, participants will work with real business data to transform complex information into meaningful insights that drive decision-making across the organization. Data Modeling & Semantic Layer Fundamentals Gain exposure to data models, business metrics, KPIs, and semantic layers that provide consistent and trusted reporting across the organization. Understand how data is structured to support scalable analytics. Analytics & Insights Analyze enterprise data to uncover patterns, opportunities, and business drivers. Learn how to translate data into actionable recommendations that support strategic and operational objectives. Work with cloud-based analytics ecosystems, data warehouses, and emerging BI technologies. Gain exposure to the tools and platforms that power enterprise reporting and decision-making. Self-Service Analytics Learn how organizations enable users to explore data independently through governed self-service reporting and analytics platforms. Understand the balance between flexibility, usability, and governance. Stakeholder Engagement & Consulting Partner with business leaders and users to understand reporting needs, gather requirements, and deliver analytics solutions that solve real-world business challenges. Develop consulting, communication, and presentation skills. AI-Driven Analytics & Innovation Explore how artificial intelligence, natural language querying, and advanced analytics are transforming the business intelligence landscape and enabling faster, smarter decisions. Minimum Qualifications Our Early Careers programs are designed for students and recent graduates who are beginning their professional careers, generally within one year of completing their degree. Education Requirements Bachelor’s or Master’s degree to be received no later than June 2027 (unofficial transcript required upon application) in a STEM major or with STEM coursework learned in associated majors. Examples of considered majors include, but are not limited to,

Computer Science, Data Engineering, Data Science, Computer Engineering, Software Engineering, Information Systems, Cybersecurity, Mathematics, Applied Mathematics, Statistics, Finance, Economics, Library Science, Geography, or Psychology. Program Requirements Available to start the Program on July 26, 2027. Analyst positions are in-person opportunities, requiring employees to work in the office at least four days per week. Core Qualifications Strong written and verbal communication skills, with the ability to communicate effectively in a professional environment. Demonstrated analytical, problem-solving, and organizational skills, with strong attention to detail. Ability to collaborate effectively, manage multiple priorities, and adapt in a fast-paced, team-oriented environment. What you’ll need to succeed AIG seeks candidates who have excelled in previous work experience, demonstrated outstanding academic and extracurricular achievement, possess strong analytical, quantitative and interpersonal skills, and are enthusiastic about learning more about the insurance industry. We also look for a diverse background of experience, culture and thought. Successful candidates typically have a global perspective and a team-oriented track record. Application Deadline Applications will be accepted through November 15 2026, at 11:59 p.m. ET. Applications are reviewed on a rolling basis, and we encourage candidates to apply early. We reserve the right to close this posting prior to the application deadline based on application volume. The Salary range for this role is $86,200 to $103,000 At AIG, we value in-person collaboration as a vital part of our culture, which is why we ask our team members to be primarily in the office. This approach helps us work together effectively and create a supportive, connected environment for our team and clients alike. Enjoy benefits that take care of what matters At AIG, our people are our greatest asset. We know how important it is to protect and invest in what’s most important to you. That is why we created our Total Rewards Program, a comprehensive benefits package that extends beyond time spent at work to offer benefits focused on your health, wellbeing and financial security—as well as your professional development—to bring peace of mind to you and your family. Reimagining insurance to make a bigger difference to the world American International Group, Inc. (AIG) is a global leader in commercial and personal insurance solutions; we are one of the world’s most far-reaching property casualty networks. It is an exciting time to join us — across our operations, we are thinking in new and innovative ways to deliver ever-better solutions to our customers. At AIG, you can go further to support individuals, businesses, and communities, helping them to manage risk, respond to times of uncertainty and discover new potential. We invest in our largest asset, our people, through continuous learning and development, in a culture that celebrates everyone for who they are and what they want to become. Welcome to a culture of inclusion We’re committed to creating a culture that truly respects and celebrates each other’s talents, backgrounds, cultures, opinions and goals. We foster a culture of inclusion and belonging through learning, cultural awareness activities and Employee Resource Groups (ERGs). With global chapters, ERGs are a cornerstone for our culture of inclusion. The talent of our people is one of AIG’s greatest assets, and we are honored that our drive for positive change has been recognized by numerous recent awards and accreditations. AIG provides equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability or any other legally protected categories. AIG is committed to working with and providing reasonable accommodations to job applicants and employees with disabilities. If you believe you need a reasonable accommodation, please send an email to View email address on click.appcast.io. Functional Area: IT - Information Technology