Information Management Analyst I

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

We are seeking a Mid-Level Information Analyst with a confirmed foundation in AML Information Governance. The ideal candidate will possess technical expertise in many of the following: SQL, Python, Snowflake, and SAS, leading and analyzing information through diverse techniques. This role requires collaboration with business owners and technical teams to ensure compliance with USAA policies and relevant regulations. Responsibilities include metadata management for transparency, data quality assurance for reliability, retention management for appropriate handling, and data security to protect sensitive information.

 We offer a flexible work environment that requires an individual to be in the office 4 days per week. The preferred location for this position is our Plano, Texas office. However, can also be based in one of the following locations: San Antonio, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, Chesapeake, VA or Tampa, FL.

Relocation assistance is not available for this position.

What you'll do:

• Find opportunities for process improvements across all IMA responsibilities and processes.
• Participates in and possibly lead discussions with cross-functional teams to drive consistency, efficiency and effectiveness of the information management.
• Participates in development of standard processes and tools based on business needs.
• Maintains Information Asset Inventories. Ensures data and assets are classified appropriately.
• Supports delivery of information in accordance with Information Governance standards and data management practices through documentation, teamwork, and execution of defined processes.
• Maintains metadata repository and accurate metadata association.
• Reviews, validates, and records metadata and data quality information.
• Develop process improvements and enhancements to mitigate data quality risks including data quality plan development, implementing data quality rule checks, supervising data quality results, reports and dashboards, as appropriate.
• Documents and updates data quality corrective action plans.
• Supports compliance assessment process by reviewing and documenting failures from data quality compliance assessment checks.
• Recommends Master and Reference Data processes and procedures to align with Enterprise Policies and Standards.
• Crafts and maintains reference data in accordance to defined processes and procedures.
• Leads quality and maintenance of master data as it is built.
• Help define and drive implementation of processes and improvements to mitigate data quality risks.
• Supports compliance assessment process by identifying and calling out items that may be a risk to the corporation.
• Supports Privacy initiatives through classification, tagging, and analysis of critical data.
• Ensures compliance and remediation of critical data in accordance to defined policies and processes. Ensures risks associated with business activities are optimally identified, measured, supervised, and controlled in accordance with risk and compliance policies and procedures.

What you have:

• Bachelor's Degree in Business or Science subject area is required; OR 4+ years of related data and analytics or technical experience (in addition to the minimum years of experience required) may be substituted in lieu of degree
• 4+ years of experience in an information management practice, business application function, or data delivery; OR If Advanced degree in a Business or Science subject area, 2+ years of experience in data and analytics, technical, or business relevant function
• Basic working experience following data management practices and theories and using tools to implement data management to address data management risks and concerns.
• Intermediate Working SQL knowledge including SQL-based languages.
• Ability to build business knowledge through meaningful partnerships at the individual contributor and leadership levels.
• Demonstrates skills in understanding and correcting data discrepancies, identifying data anomalies, and root cause analysis.
• Confirmed interpersonal skills with the ability to deliver presentations to all levels of management.

What sets you apart:

• 2+ years of AM