2027 Early Careers: Analyst, Data Office – United States, Charlotte, NC, Jersey City, Parsippany, NJ, & New York, NY
AIG3 Locations · Posted 1h ago
Location: NC-Charlotte
AIG is reimagining the way we help customers manage risk. Join us as an Analyst in the Data Office 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 Data Office
The Data Office within AIG provides transformational services that drive high impact business outcomes, support and curate data and enable analytics capabilities throughout the organization in order to drive profitable growth, reduce operational costs, improve customer experience, empower employees, reduce operational risk, and address regulatory requirements.
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.
Data Analyst Program (DOAP) Overview
DOAP is a leading 24-month data and analytics rotation program that recruits high potential individuals from top universities. Throughout the program, DOAP participants will develop a breadth and depth of skills and capabilities through three 8-month rotations, centered around Technical Foundations, Data Management and Governance, and Business Insights. DOAP participants will graduate from the program into a full-time role within the Data Office. DOAP participants can immerse in during the rotation.
Business Data Analysis: Work directly with business partners to understand business needs, gather, manipulate, and analyze data to deliver digestible insights that drive business decisions.
Business Intelligence Delivery: Develop insightful and fit-for-purpose reporting and visualizations, leveraging a broad spectrum of business intelligence and analytics tools.
Data Architecture: Participate in and support the design and delivery, including analysis, data profiling, data model design, ontology design of reference and data architecture components that preserve and enhance the value and utility of company data.
Data Engineering: Leverage modern, cloud-based technologies to develop data pipelines that collect, manage, and transform raw data into usable information for business analysis, data science and other analytic use cases. With adherence to all code/data quality, security, and compliance standards.
Data Management and Governance: Support the oversight and alignment of roles, responsibilities, processes, policies, standards and metrics that ensure the effective use of information throughout its entire lifecycle, from creation to disposition.
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.
Applications will be accepted through October 31, 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.
For Charlotte, NC, Jersey City, Parsippany, NJ, & New York, NY the base salary pay range for this position is $86,200 -
Details
- Work type
- Onsite
- Compensation
- Paid
- Remote eligible
- No
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