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Added 6 mins ago
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USAA

Analytical Engineer

Plano, TX, United States

Compensation range: The salary range for this position is: $103,450 - $197,730

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Job details

Pay: Compensation range: The salary range for this position is: $103,450 - $197,730
Posting language: English
Posted: Nov 3, 2026

Original job description

Plano East

Full time

R0122109

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.

We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs.

The Opportunity

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 with users and lead cross functional teams to address business issues. Prototypes solutions for displaying information based on business needs.

D&A Community Jobs that are part of a community have unique requirements established to maintain consistent application, usage and reporting structure. Please reach out to your HR Business Partner for additional information on specific requirements prior to posting and/or employee placement into this job. For information on hiring in this Community, visit go/dajobgov.

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, and Charlotte, NC,

Relocation assistance is not 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).
Act 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.
Ensure 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 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.

What sets you apart:

6 years of data & analytics experience.
Alternatively, 4 years of data and analytics experience plus up to 2 years of progressively responsible, relevant functional business experience in the applicable industry (e.g., P&C, banking, finance, or marketing), for a total of 6 years of combined experience.
Advanced proficiency in SQL , including experience developing complex transformations, optimizing queries, and working 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.
Experience with modern cloud data and analytics platforms such as Snowflake
Demonstrated 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 to improve trust and reliability of analytical data.
Ability to translate complex business requirements into well-designed data models, metrics, and analytical solutions while partnering closely with business analysts, data scientists, and engineering teams.
Strong knowledge of data architecture and integration patterns , including ELT/ETL pipelines, structured and semi-structured data, APIs, and event- or batch-based processing.
Experience working with high-volume, complex enterprise data and optimizing solutions for performance, scalability, maintainability, and cost.
Familiarity with AI/ML and generative AI data architectures , particularly preparing governed and reusable enterprise data for analytical and AI applications.
Strong communication skills with demonstrated ability to explain technical concepts, data definitions, and architectural decisions to both technical and non-technical audiences.
Experience in financial services, insurance, or another highly regulated industry preferred, including familiarity with data privacy, security, governance, and regulatory requirements.

Compensation range: The salary range for this position is: $103,450 - $197,730

USAA does not provide visa sponsorship for this role. Please do not apply for this role

if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN,

STEM OPT Training Plans, etc.).

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

If you are an existing USAA employee, please use the internal career site in OneSource to apply.

Please do not type your first and last name in all caps.

Find your purpose. Join our mission.

USAA is unlike any other financial services organization. The mission of the association is to facilitate the financial security of its members, associates and their families through provision of a full range of highly competitive financial products and services; in so doing, USAA seeks to be the provider of choice for the military community. We do this by upholding the highest standards and ensuring that our corporate business activities and individual employee conduct reflect good judgment and common sense, and are consistent with our core values of service, loyalty, honesty and integrity.

USAA attributes its long-standing success to its most valuable resource: our 35,000 employees. They are the heart and soul of our member-service culture. When you join us, you'll become part of a thriving community committed to going above for those who have gone beyond: the men and women of the U.S. military, their associates and their families. In order to play a role on our team, you don't have to be connected to the military yourself – you just need to share our passion for serving our more than 13 million members.

USAA is an EEO/AA Employer - applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity or expression, pregnancy, protected veteran status or other status protected by law.

California applicants, please review our HR CCPA - Notice at Collection (https://statmcstg.usaa.com/mcontent/static_assets/Media/enterprise_hr_cpra_notice_at_collection.pdf) here.

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More about this job

Skills

Reporting
Business intelligence
Data visualization
Data engineering
Systems thinking
Team leadership
Regulatory compliance
Statistics
Actuarial science
Research
Business analysis
Data analysis
SQL
Data models
Snowflake
Communication skills

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