Information Management Analyst – Mid-Level

Responsibilities

• Manage and analyze information using a variety of techniques and tools, supporting data management efforts with business owners and technical teams to manage and analyze information and data including master and reference data in adherence to USAA internal policies, standards, procedures, and external laws and regulations.
• Support one or more information management functions: metadata management to ensure information is understood.
• Data quality to ensure data is measured and trusted.
• Retention management to ensure data is retained and purged appropriately.
• Data security to ensure data is properly secured and handled based on sensitivity and regulatory requirements.
• Work with the Information Asset Stewards and technical owners to log data sources, support the Authoritative Data Source certification, ingest metadata and data lineage into the Enterprise Data Repository, provide data quality oversight, monitor data SLAs and data quality index, remediation times, and monitor material modifications to ensure re-certification occurs if warranted.

• Bachelor’s degree in business or science discipline 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 discipline, 2 years of experience in data and analytics, technical, or business relevant function.
• Basic working experience following data management practices and theories and utilizing 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.
• Demonstrated advanced communication skills with the ability to deliver presentations to all levels of management.