Data & Technology Track Associate - Rotational Program

## What You'll Do The Data & Technology Track consists of three rotational assignments completed over two years, providing exposure to teams that leverage data, analytics, and technology to support Capital Group's investment process, business strategy, and client experience. Rotations may include opportunities in areas such as: - Data & Analytics: Leverage business intelligence, reporting, analytics, and visualization tools to support decision-making and business outcomes. - Data Science: Apply advanced analytics, modeling, artificial intelligence and quantitative approaches to generate insights and solve business challenges. - Digital Products & User Experience: Support the development of digital tools, platforms, and user-focused solutions that enhance business and client experiences. - Data Strategy & Solutions: Contribute to enterprise data initiatives and help translate business needs into data-driven solutions. - Additional Data & Technology Functions: Gain exposure to other teams driving innovation, analytics, and technology transformation across Capital Group.Across rotations, associates may analyze complex datasets, develop reports and visualizations, support data and AI initiatives, evaluate business requirements, and help create data-driven solutions that inform decision-making and improve business outcomes. In addition to on-the-job learning, associates participate in Capital Group's Core Skills Academy, a shared development experience that includes professional skills training, business acumen development, networking opportunities, leadership exposure, and career development resources. ## What We're Looking For We're seeking individuals who are analytical, collaborative, and excited about using data and technology to solve problems and create value. Successful candidates demonstrate: - Strong analytical, critical-thinking, problem-solving, and quantitative skills - Learning agility, intellectual curiosity, and commitment to continuous development - Ability to navigate ambiguity, solve complex challenges, and exercise sound judgment - Strong attention to detail, organizational skills, and ability to manage multiple priorities - Excellent written, verbal, and interpersonal communication skills - Ability to collaborate effectively across teams and build strong working relationships - Initiative, ownership, and a proactive approach to problem-solving - Interest in leveraging data, analytics, technology, and emerging tools to drive innovation and business outcomes - Experience working with data, analyzing complex information, and translating insights into actionable recommendations - Experience applying analytical, quantitative, or technical skills through coursework, projects, internships, research, or extracurricular activities - Familiarity with data visualization, reporting, business intelligence, or analytical tools - Foundational programming experience (e.g., Python, SQL, R, Spark, or similar technologies) and interest in continuing to develop technical skills ## Qualifications - Currently pursuing a bachelor's degree with an anticipated graduation date between Fall 2026 and Spring 2027 - Minimum cumulative GPA of 3.0 - Authorization to work in the United States without sponsorship now or in the future - Degree in a quantitative, analytical, technology, engineering, mathematics, data science, computer science, economics, statistics, finance, information systems, or related field preferred