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

AIG • Jersey City, NJ

1d • $86,200 - $103,000 • Onsite

About The Position

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 global risk leadership and innovative solutions. They also focus on developing their colleagues, recognizing people as their greatest strength. AIG encourages colleagues to give back to their communities through Volunteer Time Off and Matching Grants Programs. The Business Intelligence team is central to AIG's evolution, leveraging data to unlock colleague potential, empower professional growth, and deliver value to customers. By transforming data into enterprise-scale insights, the team enables smarter decision-making, advances self-service analytics, and accelerates organizational value.

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.
• 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.
• 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.
• Excelled in previous work experience.
• Demonstrated outstanding academic and extracurricular achievement.
• Possess strong analytical, quantitative and interpersonal skills.
• Enthusiastic about learning more about the insurance industry.
• Diverse background of experience, culture and thought.
• Global perspective and a team-oriented track record.

Responsibilities

• Design and develop interactive dashboards, reports, and visualizations to 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.
• Work with real business data to transform complex information into meaningful insights that drive decision-making across the organization.
• 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.
• 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.
• 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.
• 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.
• Explore how artificial intelligence, natural language querying, and advanced analytics are transforming the business intelligence landscape and enabling faster, smarter decisions.

Benefits

• Volunteer Time Off
• Matching Grants Programs
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level