Fusion Data Intelligence Analyst Senior (Accounting)

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful.

The Opportunity

As a dedicated Fusion Data Intelligence Analyst Senior, you will analyze complex business problems and issues using data from internal and external sources in accounting to provide insight to analysts and decision makers. You will also identify and interpret trends and patterns in datasets to locate influences and create specifications for reports and analysis based on business needs and required/available data elements. Additionally, you will partner with cross functional teams to address business issues, and prototype solutions for displaying information.

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, Phoenix, AZ, Colorado Springs, CO, or Charlotte, NC.

Relocation assistance is available for this position.

What you'll do:

• 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

What you have:

• Bachelor's degree in a 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; 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 accounting area of the banking and/or insurance industry for a total of 6 years combined experience OR advanced degree in a 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 accounting area of the banking and/or insurance industry

• 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 and data visualization platforms (Tableau, SAP Business Objects, Oracle FDI, OTBI, Sigma), data management platforms (Snowflake, Hadoop, Oracle Cloud, Oracle on-prem, Microsoft SQL Server), or SQL-based langua