Mid-Level Information Management Analyst

USAA•San Antonio, TX

7d•Hybrid

About The Position

We are seeking a proactive and self-driven Mid-Level Information Management Analyst who has a strong foundation in data management principles and technical expertise. This person will be stewarding Data assets in databases, performing SQL queries, and implementing data management best practices such as metadata, sensitive data, master data, and reference data management. If you have a deep understanding of risk and control management as well as analytical and problem-solving skills, then this is the right fit for you! Note: This job would require some post validations after work hours. Manages and analyzes information using a variety of techniques and tools, supports 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. This role will 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. This may include working 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.

Requirements

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.

Nice To Haves

Statistical knowledge for interpreting trends, hypothesis testing, and drawing meaningful conclusions from data.
Research skills to identify Data anomalies & ability to investigate and gather information related to data issues.
Experience handling customer/member data and any Bigdata
Knowledge of applying automation and utilizing AI for Data management concepts and practices
Strong communication skills to collaborate effectively with data consumers, Product owners, and stakeholders

Responsibilities

Identify 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 best practices 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, collaboration, and execution of defined processes.
Maintains metadata repository and proper 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, monitoring 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.
Recommend Master and Reference Data processes and procedures to align with Enterprise Policies and Standards.
Creates and maintains reference data in accordance to defined processes and procedures.
Manages quality and maintenance of master data as it is created.
Help define and drive implementation of processes and enhancements to mitigate data quality risks.
Supports compliance assessment process by identifying and escalating items that may be a risk to the corporation.
Supports Privacy initiatives through classification, tagging, and analysis of sensitive data.
Ensures compliance and remediation of sensitive data in accordance to defined policies and processes.
Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.