Data Management Analyst

About this role:

Wells Fargo is seeking Data Management Analyst.

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.