Analytical Engineer

USAA•Plano, TX

2d•$103,450 - $197,730•Hybrid

About The Position

The Analytical Engineer analyzes complex business problems using internal and external data to identify trends and provide insight for analysts and decision makers. The role gathers business requirements, develops business intelligence solutions and analytics-ready data products, and works with stakeholders and technology teams to shape data infrastructure, architecture, and governance. It applies data visualization practices and prototypes dashboards, reports, and other analytical outputs to meet business needs and improve the end-user experience. The position may also champion Agile practices, guide internal teams on business intelligence methods, and participate in discipline-relevant groups to share and learn best practices. This position requires working in the office four days per week and can be based in San Antonio, Texas; Plano, Texas; or Charlotte, North Carolina. Relocation assistance is not available. The salary range is $103,450–$197,730, with actual salary varying by location and possible performance-based incentives. USAA does not provide visa sponsorship for this role.

Requirements

Bachelor's degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science, or another business or quantitative field; alternatively, four years of relevant education and/or experience.
Six years of data and analytics experience, or four years of data and analytics experience plus up to two years of progressively responsible relevant functional business experience in an applicable industry, for six years of combined experience.
Advanced SQL proficiency, including complex transformations, query optimization, and work with large-scale datasets.
Hands-on experience designing and maintaining analytics-ready data models, including dimensional modeling, fact and dimension structures, and reusable semantic or business layers.
Ability to develop reusable, scalable data products that provide consistent business definitions and reduce duplication across analytics teams.
Experience implementing data quality controls, observability, lineage, metadata management, and governance.
Ability to translate complex business requirements into data models, metrics, and analytical solutions while partnering with business analysts, data scientists, and engineering teams.
Knowledge of data architecture and integration patterns, including ELT/ETL pipelines, structured and semi-structured data, APIs, and event- or batch-based processing.
Experience with high-volume, complex enterprise data and optimizing solutions for performance, scalability, maintainability, and cost.
Strong communication skills, including explaining technical concepts, data definitions, and architectural decisions to technical and non-technical audiences.

Nice To Haves

Experience with modern cloud data and analytics platforms such as Snowflake.
Familiarity with AI/ML and generative AI data architectures, particularly preparing governed and reusable enterprise data for analytical and AI applications.
Experience in financial services, insurance, or another highly regulated industry, including familiarity with data privacy, security, governance, and regulatory requirements.

Responsibilities

Gather complex business requirements by partnering with customers to define business problems and data needs.
Use knowledge of multiple data structures and sources to lead development and implementation of business intelligence solutions, including data visualization, transformation, and collection.
Partner with IT execution teams on analytic infrastructure, data engineering, and related business intelligence efforts.
Collaborate on the design and implementation of technical standards and governance practices.
Apply data visualization best practices, selecting appropriate tools to identify and interpret trends while following enterprise branding standards.
Use prototyping, usability, and end-user experience principles to maximize the impact of dashboards, reports, insights, and analyses.
Advise stakeholders and end users on data visualization to drive business value.
Apply systems thinking to influence data, information, and application architecture decisions.
Potentially champion Agile methodology, execution, and team education on best practices.
Potentially provide internal team leadership and guidance on business intelligence tools, techniques, and processes.
Participate in industry, center-of-excellence, or other relevant groups and panels to keep abreast of trends and share best practices.
Ensure risks associated with business activities are identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.
Analyze complex business problems using internal and external data, interpreting trends and patterns and creating specifications for reports and analysis.

Benefits

Comprehensive medical, dental, and vision plans.
401(k).
Pension.
Life insurance.
Parental benefits.
Adoption assistance.
Paid time off program with paid holidays.
16 paid volunteer hours.
Wellness programs.
Career path planning and continuing education to support professional goals.
Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.