Senior Analytics Consultant

Job Summary

Wells Fargo is seeking a Senior Analytics Consultant. We believe in the power of working together because great ideas can come from anyone. Through collaboration, any employee can have an impact and make a difference for the entire company.

Responsibilities

• Consult, review and research moderately complex business, operational, and technical challenges that require an in-depth evaluation of variable data factors
• Perform moderately complex data analysis to support and drive strategic initiatives and business needs
• Develop a deep understanding of technical systems and business processes to extract data driven insights while identifying opportunities for engineering enhancements
• Lead or participate on large cross group projects
• Mentor less experienced staff
• Collaborate and consult with peers, colleagues, external contractors, and mid-level managers to resolve issues and achieve goals
• Leverage a solid understanding of compliance and risk management requirements for supported area

Required Qualifications

• 4+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications

• Strong understanding of risk management programs in large, complex organizations.
• Expertise in Tableau dashboard development and data visualization.
• Experience with complex data warehouse analysis and large datasets.
• Strong analytical, critical thinking, and problem-solving skills.
• Ability to translate complex data into meaningful risk insights and business stories.
• Experience defining reporting requirements, KPIs, and risk metrics.
• Excellent stakeholder management, communication, and relationship-building skills.
• Experience with Tableau Server, Hadoop, Power BI, SAS Viya, or similar BI tools.
• SAS experience for data extraction, analytics, and reporting automation is a plus.

Job Expectations

• Lead the design and implementation of Tableau dashboards and reporting solutions.
• Define supporting data architecture, including data marts and centralized data sources.
• Develop meaningful visualizations to communicate risk and business insights.
• Analyze and process large datasets using multiple reporting and analytics tools.
• Design, test, and validate reporting data sources and performance metrics.
• Mentor team members on advanced analytics and data visualization techniques.
• Partner with cross-functional teams to drive data-driven decision-making.
• Provide guidance on data interpretation and translating insights into action.