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.