Data Management Analyst
| Company | Wells Fargo |
|---|---|
| Location | Des Moines, WA, USA, Charlotte, NC, USA, Minneapolis, MN, USA, Chandler, AZ, USA, Irving, TX, USA |
| Salary | $63600 – $124300 |
| Type | Full-Time |
| Degrees | |
| Experience Level | Junior, Mid Level |
Requirements
- 2+ years of Data Management, Business Analysis, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Responsibilities
- Participate in less complex analysis to identify and remediate data quality or integrity issues and to identify and remediate process or control gaps
- Adhere to data governance standards and procedures
- Identify data quality metrics and execute data quality audits to benchmark the state of data quality
- Design and monitor data governance, data quality and metadata policies, standards, tools, processes, or procedures to ensure data control and remediation for companywide data management functions
- Support communications with basic documentation related to requirements, design decisions, issue closure, or remediation updates
- Support issue remediation by performing medium risk data profiling, data or business analysis, and data mapping as part of root cause or impact analysis
- Provide support to regulatory analysis and reporting requirements
- Recommend plans for the development and implementation of initiatives that assess the quality of new data sources
- Work with business and technology partners or subject matter professionals to document or maintain business or technical metadata about systems, business or data elements, or data-related controls
- Consult with clients to assess the current state of data quality within area of assigned responsibility
Preferred Qualifications
- Experience with enterprise Data Management Policies and frameworks.
- Familiarity with the data lifecycle, including data creation, usage, transformation, retention, and archival.
- Understanding of data governance principles, including stewardship, ownership, and accountability models.
- Exposure to metadata management, data lineage, and data cataloging tools (e.g., Collibra, Informatica, Alation).
- Ability to perform data profiling and interpret data quality results to support remediation planning.
- Knowledge of data quality dimensions (e.g., accuracy, completeness, consistency, timeliness).
- Experience supporting regulatory data requirements and compliance initiatives.
- Strong analytical, documentation, and communication skills with attention to detail.
- Ability to work collaboratively across business, risk, and technology teams.