AIG is seeking an Analyst for the Data Office Business Intelligence department as part of their 2027 Early Careers program. This role offers opportunities to learn and grow skills and experience within a transformative environment. AIG's purpose is to help organizations and people discover new potential by providing deep expertise and innovative solutions in risk management. The company also focuses on developing its colleagues, recognizing them as its greatest strength. AIG encourages colleagues to give back to their communities through programs like Volunteer Time Off and Matching Grants. The Business Intelligence team is central to AIG's evolution, leveraging data to unlock colleague potential, support professional growth, and deliver greater value to customers. By transforming data into enterprise-scale insights, the team enables smarter decision-making, advances self-service analytics, and accelerates organizational value. The Business Intelligence Rotation Overview (DOAP) is a 24-month program for high-potential individuals from top universities. Participants will gain breadth and depth of skills through three 8-month rotations, working within the Business Intelligence team to understand the intersection of data, technology, and business strategy. This hands-on experience involves developing analytics solutions to aid informed decision-making, collaborating with business partners, data engineers, architects, and analytics professionals to solve real-world business challenges using data. DOAP participants will transition into full-time roles within the Data Office upon program completion. Areas of experience include Business Intelligence Delivery (designing dashboards, reports, visualizations), Data Modeling & Semantic Layer Fundamentals, Analytics & Insights (analyzing enterprise data, translating data into recommendations), Self-Service Analytics (enabling user data exploration), Stakeholder Engagement & Consulting (partnering with leaders to understand needs and deliver solutions), and AI-Driven Analytics & Innovation (exploring AI, natural language querying, and advanced analytics).
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Job Type
Full-time
Career Level
Entry Level