CFO Future Leaders Program – Data & Analytics
| Company | USAA |
|---|---|
| Location | San Antonio, TX, USA |
| Salary | $51370 – $92060 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Entry Level/New Grad, Junior |
Requirements
- Pursuing a bachelor’s degree or higher in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline
- Graduation date must be prior to July 1, 2025
- Up to 2 years of experience in Information or Data related practices to include: information governance, information management, IT, business analysis, and reporting
- Foundational experience in one or more dynamic scripted language (Python, R, etc.) and database query language (such as SQL, HQL, NoSQL, etc.) for performing data manipulation tasks, statistical analyses and/or building and scoring AI/ML models
- Knowledge and/or awareness of business intelligence and data management platforms (Tableau, Business Objects, Snowflake, Hadoop, etc.)
- Strong sense of intellectual curiosity and an interest in problem solving
Responsibilities
- Captures business requirements by partnering with customers to define the business problem and data needs
- Ensures that information management practices: Metadata management, Data Quality, Data Lineage, Data Profiling, etc. are coordinated into appropriate business and technology processes in support of the Information Governance policy
- Utilizes basic knowledge of multiple data structures and sources to support the development and implementation of business intelligence solutions, which may include data visualization, business intelligence, data transformation, or data collection
- Develops partnerships with IT execution teams on the development of analytic infrastructures, data engineering, or related business intelligence enablement efforts. Includes collaborating on the design and implementation of technical standards and governance practices
- Supports the delivery of business insights using data querying approaches, machine learning, simulation, and optimization
- Acquires knowledge of data analysis techniques, technologies, and methodologies. Works closely with more senior data scientists to perform hands-on model life cycle related tasks
- Partners with senior team members to develop and deploy models within the Model Development Life Cycle (MDLC) and Model Risk Management (MRM) framework
Preferred Qualifications
- Master’s degree is strongly preferred, but not required