Data Intern - Future Leaders Program

## The Opportunity This opportunity may lead to selection into a two-year development rotational program following graduation. The Finance Future Leaders Program Data and Analytics Track has the goal to develop future finance leaders by focusing on finance insights and solutions that enable data-driven decision-making across finance functions, leveraging strong technical skills and strategic thinking through mentorship, training modules, regular and timely performance feedback, and stretch projects that drive business improvement and efficiencies. Each rotational assignment will be approximately 8 months in length but may vary based on business need. Participants can expect to have exposure to assignments within data science, decision science, and business analytics. ## Example Internship Assignments: - Information Stewardship and Data Governance: Leads efforts to identify and remediate gaps in Finance Information Assets related to Enterprise Data Governance requirements. Builds and implements data monitoring rules using a variety of techniques and tools, supports data management efforts in adherence to USAA internal policies, standards, procedures, and external laws and regulations. - Business Intelligence: Analyzes business problems and incidents using data from internal and external sources to provide insight to analysts and decision makers. Builds specifications for reports and analysis based on business needs and required or available data elements. - Insight Delivery: Within defined guidelines and frameworks, consults with the business to understand and define opportunities and recommends solutions by analyzing data and providing key insights to advise decisions. - Data Science: Within defined guidelines and framework, translates business problems into applied statistical, machine learning, simulation, and optimization solutions to advise actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. ## What you'll do: Under direct supervision and following risk and compliance procedures and guidance, you will perform routine work assignments and problem resolution to support other team members tasks, including the following: - 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. - Uses 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 technology 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 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.