Role – Data Management Analyst Location – CHARLOTTE NC (Hybrid) Duration – Long term contract(W2 Contract) Interview - WebEx/Video Interview End Client – Wells Fargo Typical Activities: • Document use case inventories, data element inventories, data source data element dictionaries, Approved Data Source (ADS) inventories, System Of Record (SOR) inventories, and standard data quality checks. • Identify and recommend analysis of data quality checks or data integrity issues. • Document new data sources and data elements and develop recommendations for assessing the quality of new data. • Evaluate data quality metrics and data quality audits to benchmark the state of data quality. • Adhere to data governance and data management policy, standards, procedures, and controls. • Recommend remediation of process or control gaps that align to management strategy. • Perform analysis and reporting in support of regulatory requirements. Desired Skills/Experience: Nice to have Technical Skills/Business Knowledge: • Understanding database structure (how data moves, data movement/data element controls) • Technical aptitude for understanding and manipulating data • Data governance and/or data management experience • Metadata Tool (e.g. Collibra or ADMF) experience • Data analysis tools (Alteryx) experience • Data mapping experience • JIRA usage and/or development experience • Data visualization tool experience (PowerBI, Tableau, etc) • SharePoint experience • Regulatory Report (BSA/AML) knowledge/experience • Knowledge of the banking and finance industry • Commercial Lending (WF preferred - BOA ok) Product Knowledge • Understanding of Data Management policy • Understanding of risk management framework and the risk and control environment • Experience working in Corporate Risk, Audit, or Independent Testing • Understanding of key regulatory compliance risk components • Stakeholder Management/collaboration (internal partners, management and lines of business regarding risk management) • Experience with reviewing and research moderately complex potential data defects, and follow through on reporting, escalation, and resolution • Moderate Coding Skills (SQL, Python) • Proficiency with data flows, report outputs, and data dictionaries • Accounting Reconciliations • Project Management experience • Understanding of data security protocols and regulations