In this role, you will:
- 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
Required Qualifications:
- 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
Desired Qualifications:
- Experience in large enterprise data initiatives
- Manage data entry, cleansing and updating processes across core system.
- Identify and resolve data inconsistency or quality issues.
- Banking business or technology experience
- Experience using standard BI tools (Tableau, Power BI, MicroStrategy, etc)
- Must have knowledge on T-SQL, database, data warehousing, joins, data analysis, Indexing.
- Should be aware of ETL concepts, data integration, transformation, data load techniques.
- BI concepts/solutions, analytical dashboards, different type of reporting.
- Cloud concepts, cloud infrastructure, cloud centric solutions (data pipelines, Big Query, etc.)
- Agile principles, Agile ceremonies, Software Development Lifecycle, JIRA, Scrum/Kanban.
- Skills: SQL - Teradata, Snowflake, Python, Regression & Clustering, Alteryx & LLM
Job Expectations:
- Assist in implementing the data process.
- Monitor data flows and perform regular audits to maintain data integrity.
- Ensure consistent data definition and usage across systems.
- Collaborate with data engineers and architects to optimize data flow and storage.
- Work with IT and business teams to implement data cleansing and validation rules
- Identify, investigate and resolve data quality issues through root cause analysis.
- Define and maintain data dictionaries, metadata and business glossaries.
30 Jul 2025
Wells Fargo Recruitment and Hiring Requirements:
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.