In this role as a Senior Analytics Consultant at Wells Fargo, you will consult, review, and research moderately complex business, operational, and technical challenges that require an in-depth evaluation of variable data factors. Additionally, you will perform moderately complex data analysis to support and drive strategic initiatives and business needs. Your responsibilities will include developing a deep understanding of technical systems and business processes to extract data-driven insights while identifying opportunities for engineering enhancements. You will also lead or participate in large cross-group projects, mentor less experienced staff, and collaborate with peers, colleagues, external contractors, and mid-level managers to resolve issues and achieve goals. Furthermore, you will leverage a solid understanding of compliance and risk management requirements for the supported area. **Key Responsibilities:**
Consult, review, and research moderately complex business, operational, and technical challenges
Perform data analysis to support and drive strategic initiatives
Develop a deep understanding of technical systems and business processes
Lead or participate in large cross-group projects
Mentor less experienced staff
Collaborate with peers, colleagues, external contractors, and mid-level managers
Continuously track and integrate emerging AI trends and technologies
Perform advanced Pricing Analytics across products and customer segments
Conduct model documentation, governance alignment, and periodic validation
Execute ad-hoc profitability analyses related to compensation structures, product pricing, rate strategies, fee impacts, margin movements, and customer-level profitability
Partner with Finance, Product, Risk, and Pricing strategy teams
Integrate pricing insights into dashboards and analytical models
Develop partnerships and collaborate with other business and functional areas
Excellent verbal, written, and interpersonal communication skills
Demonstrated ability to create and improve processes through strategic thinking
Knowledge and understanding of data warehouse or data mart concepts
Demonstrated expertise in Data mining, analysis, and visualization of large financial datasets
Knowledge of data privacy, risk, and controls related to the banking sector
Experience with iterative development approach (Agile)
Experience with source control (GitHub)
Experience with issue and project tracking (JIRA)
**Qualification Required:**
4+ years of Analytics experience or equivalent
Bachelor's or master's degree in engineering, Finance, Statistics background
Proficiency in AI framework and tools adoption (e.g. Wells Fargo maintains a drug-free workplace, and specific recruitment and hiring requirements are outlined. In this role as a Senior Analytics Consultant at Wells Fargo, you will consult, review, and research moderately complex business, operational, and technical challenges that require an in-depth evaluation of variable data factors. Additionally, you will perform moderately complex data analysis to support and drive strategic initiatives and business needs. Your responsibilities will include developing a deep understanding of technical systems and business processes to extract data-driven insights while identifying opportunities for engineering enhancements. You will also lead or participate in large cross-group projects, mentor less experienced staff, and collaborate with peers, colleagues, external contractors, and mid-level managers to resolve issues and achieve goals. Furthermore, you will leverage a solid understanding of compliance and risk management requirements for the supported area. **Key Responsibilities:**
Consult, review, and research moderately complex business, operational, and technical challenges
Perform data analysis to support and drive strategic initiatives
Develop a deep understanding of technical systems and business processes
Lead or participate in large cross-group projects
Mentor less experienced staff
Collaborate with peers, colleagues, external contractors, and mid-level managers
Continuously track and integrate emerging AI trends and technologies
Perform advanced Pricing Analytics across products and customer segments