Responsibilities

• Facilitating the identification of opportunities to utilize data analysis in the assessment of risk and controls.
• Navigating within large complex technology environments to locate, validate, extract, and format data for data analysis testing.
• Effectively documenting the analysis in accordance with audit policy.
• Training and mentoring audit teams in the use of data analysis and data analysis tools.
• Partnering with assigned audit teams to build expertise in the use of data analysis within the internal audit function.

Essential Qualifications

• A BS/BA degree or higher with 5-8+ years of experience in one or a combination of the following: reporting, analytics, or modeling.
• Strong experience in SAS, SQL, Python, R programming, Visual Basic, Oracle SQL, SQL Server Management Studio, Microsoft SQL Server, Teradata, SQL Server Reporting Service including automation solutions of medium to high technical complexity.
• Advanced development of enhanced BI visualizations (Tableau, Qlikview, Power BI and Power Pivot).
• Audit experience at a financial institution or accounting firm.
• Ability to obtain or currently hold one or more of the following certifications: CIA, CISA, CPA, CAMS, or CRCM.
• Solid knowledge and understanding of audit methodologies and processes.
• Excellent verbal, written, and interpersonal communication skills.
• Strong organizational, multitasking, and prioritizing skills.
• Ability to work effectively in a team environment and across all organizational levels, where flexibility, collaboration, and adaptability are important.
• Ability to execute in a fast paced, high demand, environment while balancing multiple priorities.
• Solid problem-solving skills.
• Good analytical skills with high attention to detail and accuracy.

Desired Qualifications:

• Extensive knowledge and understanding of research and analysis
• Strong analytical skills with high attention to detail and accuracy
• Outstanding problem solving and analytical skills with ability to turn findings into strategic imperatives
• Ability to develop operational reporting and perform complex data analysis
• Computer Science (B.A.) [Concentration in Financial Services Informatics, AI, Robotics, Data Science, Software, Systems]
• Management Information Systems [Concentration in Management Information Systems; Business Intelligence and Analytics; Systems Analysis]
• Degree in Economics, Mathematics and Statistics
• Certifications in analytics space:
  • SAS Certified Big Data Professional
  • SAS Certified Data Scientist
  • Certification of Professional Achievement in Data Sciences
  • Certified Analytics Professional
  • Data Mining and Applications Graduate Certificate (university specific)
• Experience in data processing, database programming, and/or data analytics.
• Proficiency with other software and/or programming languages and tools (Python, Visual Basic, Oracle SQL, SQL Server Management Studio, Microsoft SQL Server, Teradata, SQL Server Reporting Service, etc.)
• Advanced experience with data management including data modeling, data integrity and data quality
• Advanced experience creating executive level dashboards, analytics, and reports using advanced visualization tools
• Advanced experience gathering business requirements from various sources including end-users and stakeholders
• Advanced business intelligence experience
• Network Data Mover (NDM) experience
• Experience in audit or risk functions covering risk identification, analysis, mitigation, and management
• Knowledge of Wells Fargo businesses, systems of record, and data warehouses.