Business Intelligence Analyst Senior - Member Value

USAA•Tampa, FL

2d•$103,450 - $197,730•Hybrid

About The Position

As a dedicated Business Intelligence Analyst in the Member Value organization, you will drive analytics that inform the strategy, performance, and continuous evolution of AI-enabled member interactions. You will translate complex data into clear business recommendations, identify opportunities to improve member experience and operational outcomes, and influence priorities that expand the value of conversational AI capabilities across the enterprise. Through strong partnerships with business and technology teams, you will help accelerate innovation while ensuring measurable impact for members and USAA. Analyzes complex business problems and issues using data from internal and external sources to provide insight to analysts and decision makers. Identifies and interprets trends and patterns in datasets to locate influences. Creates specifications for reports and analysis based on business needs and required or available data elements. May participate in consultation to users and lead cross functional teams to address business issues. Prototypes solutions for displaying information based on business needs. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position.

Requirements

Bachelor's degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science, or a business or quantitative field; OR 4 years of relevant education and/or experience.
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

US military experience gained through military service or gained as a military spouse / domestic partner.
Demonstrated experience serving as a trusted advisor to senior executives, providing strategic counsel and driving alignment on critical business priorities.
Proven ability to influence across a complex organization, building partnerships, driving accountability, and delivering results without direct authority.
Exceptional executive communication and presentation skills, with the ability to translate complex business challenges into clear, compelling recommendations and action plans.
Self-directed and proactive, with the ability to anticipate needs, remove obstacles, and independently advance strategic priorities in a fast-paced environment.

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.