Senior Data Management Analyst

About this role:

Wells Fargo is seeking a Senior Data Management Analyst

In this role, you will:

• Lead or participate in moderately complex programs and initiatives for data quality, governance, and metadata activities
• Design and conduct moderately complex analysis to identify and remediate data quality, data integrity, process, and control gaps
• Analyze, assess, and test data controls and data systems to ensure quality and risk compliance standards are met and adhere to data governance standards and procedures
• Identify data quality metrics and execute data quality audits to benchmark the state of data quality
• Develop recommendations for optimal approaches to resolve data quality issues and implement plans for assessing the quality of new data sources leveraging domain expertise and data, business, or process analysis to inform and support solution design
• Lead project teams and mentor less experienced staff members
• Drive planning and coordination on moderately complex remediation efforts acting as central point of contact
• Consult with clients to assess the current state of data and metadata quality within area of assigned responsibility
• Participate in cross-functional groups to develop companywide data governance strategies
• Provide input into communication routines with stakeholders, business partners, and experienced leaders

Required Qualifications:

• 4+ 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
• Solid understanding of master data management (MDM), metadata management and data lineage.
• 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.
• Key Skills: SQL - Teradata, Snowflake, Python, Regression & Clustering, Alteryx, LLM

Job Expectations:

• Oversee the design and execution of data pipelines and ETL processes.
• 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.