Customer Intelligence – Senior Lead Analytics Consultant

Wells Fargo•Charlotte, NC

1d•Hybrid

About The Position

Wells Fargo is seeking a Senior Lead Analytics Consultant for the Customer Intelligence team within Consumer Banking. This role will own and lead high‑impact, highly visible analytics initiatives, translating complex data into actionable insights that address critical business questions. Learn more about the career areas and lines of business at wellsfargojobs.com. In this role, you will: Own and lead complex, high‑impact analytics initiatives to deliver data‑driven insights on customer behavior and financial health, proactively managing risks and dependencies Source, assemble, analyze, and interpret large‑scale transaction data; build reusable data assets (e.g., data cubes) and repeatable analytic workflows to drive scalability and reuse Apply advanced analytical techniques to complex business questions, synthesizing insights across multiple data sources Develop executive‑ready deliverables, including presentations, dashboards, and written materials with clear, actionable insights Influence senior leaders and cross‑functional stakeholders, effectively communicating findings and driving alignment across lines of business Drive innovation in analytics by piloting AI‑enabled tools and automation to uncover patterns and insights beyond the limits of traditional methods Mentor and develop less experienced team members, fostering analytical rigor, delivery excellence, and continuous skill growth

Requirements

7+ years of Analytics, Reporting, Financial Modeling or Statistics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
7+ years of SQL or SAS experience

Nice To Haves

Financial services experience with a strong understanding of industry dynamics and macroeconomic trends; additional experience in commercial and investment banking is preferred
Master’s or advanced degree in data science, statistics, economics, or a similar quantitative field
Advanced proficiency in SQL, Python, SAS, Tableau, Power BI, Alteryx or similar analytical programming languages, dashboarding tools, and enterprise data platforms, with a strong attention to detail and data quality; working knowledge of Wells Fargo data and platforms is preferred.
Demonstrated experience retrieving, assembling, analyzing, and interpreting data from large transaction databases; experience building reusable data cubes, repeatable analytic workflows, and innovative analytical solutions and capabilities is preferred.
Proven ability to synthesize disparate datasets from internal and external sources, perform customer, market, and industry analyses, and draw sound insights and recommendations.
Advanced Excel and PowerPoint skills to develop compelling content; experience with Think‑Cell is preferred.
Proven ability to manage multiple initiatives and tight deadlines while operating effectively both independently and collaboratively in fast‑paced, ambiguous, and evolving environments.
Strong relationship management and influencing skills, with demonstrated success partnering across business and technical teams and communicating clearly and effectively at all organizational levels.
Excellent verbal, written, and interpersonal communication skills
Curiosity‑driven mindset with a passion for identifying creative solutions and building new capabilities that enable faster, deeper insights
Demonstrated interest in leading and mentoring junior team members by helping them structure and prioritize work, manage deadlines, and perform effectively in high‑pressure environments

Responsibilities

Own and lead complex, high‑impact analytics initiatives to deliver data‑driven insights on customer behavior and financial health, proactively managing risks and dependencies
Source, assemble, analyze, and interpret large‑scale transaction data; build reusable data assets (e.g., data cubes) and repeatable analytic workflows to drive scalability and reuse
Apply advanced analytical techniques to complex business questions, synthesizing insights across multiple data sources
Develop executive‑ready deliverables, including presentations, dashboards, and written materials with clear, actionable insights
Influence senior leaders and cross‑functional stakeholders, effectively communicating findings and driving alignment across lines of business
Drive innovation in analytics by piloting AI‑enabled tools and automation to uncover patterns and insights beyond the limits of traditional methods
Mentor and develop less experienced team members, fostering analytical rigor, delivery excellence, and continuous skill growth