Business Intelligence Analyst: Data Office Rotation

AIG; Atlanta (GA); On-site; USD 8,600 - 103,000; Full time

Benefits offered by this job

Total Rewards Program

Employee Resource Groups (ERGs)

In-office collaboration four days a​s 

Job summary

AIG is seeking an Analyst to join the Data Office Business Intelligence team, focusing on turning data into actionable insights. The program emphasizes learning through rotations, collaboration with data engineers and executives, and hands-on development of analytics solutions to support decision-making.

The role involves designing dashboards, working with BI platforms and data models, and contributing to an enterprise-wide analytics strategy while advancing self-service capabilities and

Qualifications

• Strong written and verbal communication skills for professional environments.
• Demonstrated analytical, problem solving, and organizational skills.
• Ability to collaborate, manage multiple priorities, and adapt in a fast-paced team setting.

Responsibilities

• Design and develop interactive dashboards, reports, and visualizations for executives and teams.
• Gain experience with BI platforms, data warehouses, and analytics tools.
• Collaborate with business partners, data engineers, architects, and analytics professionals to solve real-world business challenges using data.
• Learn to translate data into actionable recommendations supporting strategic and operational objectives.
• Develop governance and self-service analytics capabilities to empower users.

Skills

Communication skills

Analytical thinking

Problem solving

Organizational skills

Collaboration

Education

Bachelor’s or Master’s degree in STEM or related

Job description

AIG is seeking an Analyst to join the Data Office Business Intelligence team, focusing on turning data into actionable insights. The program emphasizes learning through rotations, collaboration with data engineers and executives, and hands-on development of analytics solutions to support decision-making.

The role involves designing dashboards, working with BI platforms and data models, and contributing to an enterprise-wide analytics strategy while advancing self-service capabilities and