Business Intelligence Analyst Senior

USAA•San Antonio, TX

1d•Hybrid

About The Position

At USAA, the mission is to empower members to achieve financial security through competitive products, exceptional service, and trusted advice, aiming to be the #1 choice for the military community and their families. The company's core values are honesty, integrity, loyalty, and service. The Business Intelligence Analyst Senior role, located in USAA Corporate Offices in San Antonio, TX or Charlotte, NC, involves analyzing complex business problems using internal and external data to provide actionable insights to analysts, business partners, and senior decision-makers. This position requires identifying and interpreting trends and patterns in large datasets, translating business needs into detailed reporting and analytics specifications, and prototyping intuitive visualization solutions to support strategic decision-making. The role also includes close consultation with stakeholders, executive-level influence, and leading cross-functional efforts to address critical business issues.

Requirements

Advanced Tableau expertise, including designing, building, and supporting high‑impact dashboards for business partners
Strong executive‑level communication and influencing skills, with experience gathering requirements and presenting insights to senior leadership
Proven ability to translate complex business requirements into clear, user‑focused data visualizations
Proven experience in visual storytelling, demonstrating the ability to not only build graphical visual dashboards, but also interpret patterns, trends, outliers and highlights to generate meaningful business insights that can aid data driven decision making
Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other business-related discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.
6 years of data & analytics experience OR a minimum of 4 years of data & analytics experience and up to 2 years of progressive functional business relevant experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing etc.) for a total of 6 years combined experience OR advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline and 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing, etc.)
Demonstrated experience in the identification of innovative approaches to address moderately complex business problems and solutions.
Advanced experience developing business deliverables that leverage business intelligence platforms, data management platforms, or SQL-based languages (Tableau, Business Objects, Snowflake, Hadoop, Netezza, NoSQL, ANSI SQL, or related).
Proven, expert ability to leverage or build business knowledge through meaningful partnerships at the individual contributor, leadership, and EMG levels.
Demonstrated expert-level communication skills with the ability to deliver presentations to all levels of management.
Demonstrated the ability to embed intuitive story telling within the business intelligence solutions and platforms including concise presentation of complex technical details.

Nice To Haves

Experience partnering with outside counsel, including engagement management, spend oversight, and matter tracking
Tableau certifications strongly preferred, including: Certified Tableau Data Analyst, Certified Tableau Architect, Tableau Certified Professional
Experience with case management tools is a plus
U.S. military experience through service or as a military spouse/domestic partner is a plus

Responsibilities

Leads and participates in gathering complex and often unique business requirements by partnering with customers to define the business problem and data needs.
Utilizes an advanced understanding of multiple data structures and sources to lead the development and implementation of business intelligence solutions, which may include data visualization, data transformation, or data collection.
Strategically partners and works with IT execution teams on the development of analytic infrastructures, data engineering, or related business intelligence efforts. Includes collaborating on the design and implementation of technical standards and governance practices.
Applies data visualization best practices - often selecting the right data ‘tool for the job’ to identify and interpret trends or patterns while following standard Enterprise branding.
Understands the value of prototyping, usability, and the end-user experience to maximize the impact of the final data visualization product (dashboard, report, insight, or analysis).
Acts as a trusted data visualization advisor to the stakeholder/end-user in order to drive business value.
Provides system thinking to influence relevant data, information, and application architecture decisions.
May serve as an Agile champion who is responsible for the methodology, execution, and team education on best practices.
May provide internal team leadership by providing guidance on business intelligence tools, techniques and processes.
Actively participates in industry, COE, or other discipline-relevant groups/panels to keep abreast of industry trends and share best practices with team.
Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.