Lead Business Execution Consultant -Branch Distribution Strategy, Valuations, and Analytics

Wells Fargo•Minneapolis, MN

20h•$119,000 - $206,000

About The Position

About this role: Wells Fargo is seeking a Wells Fargo is seeking a strategic, data-driven Lead Business Execution Consultant to support branch operations and retail distribution strategy. This role is ideal for someone with strong analytical, problem-solving, and business strategy experience who enjoys working at the intersection of strategy, data, insights, and execution. You will help evaluate branch network performance, support strategic initiatives, leverage python, SAS, R, or SQL to conduct robust analytics on large data sets and synthesize your findings into concise executive ready presentations that will be presented to senior executives. If you enjoy solving complex problems, extracting insights, influencing decision making in a fast paced results focused environment, we’d love to hear from you. Learn more about the career areas and lines of business at wellsfargojobs.com. In this role, you will: Analytics, Insights & Valuations Utilize analytical tools such as Python, R, and SAS to manipulate and analyze large, complex datasets (e.g., customer level and block group level data) to generate insights and inform strategy. Interpret and apply outputs from geospatial analytics (GIS) and AI/Machine Learning models to support business decision-making. Collect, clean, validate, and structure data from multiple sources to ensure accuracy, consistency, and reliability of analysis. Develop business cases and perform financial valuations that help leaders understand the economic impact and feasibility of proposed initiatives. Package analytics, valuations, insights into executive ready presentations Execution & Collaboration Execute moderately complex, cross functional initiatives by partnering with strategy, finance, data science, operations, and technology teams. Identify and recommend opportunities to improve analytical tools, automation, data processes, and reporting frameworks. Support compliance with internal policies, controls, and regulatory requirements across all assigned initiatives.

Requirements

5+ years of Business Execution, Implementation, or Strategic Planning experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Nice To Haves

Proficiency in building executive ready presentations and slides
Proficiency in analyzing large data sets and visualizations that drive analytical insights
Advance Experience with: SQL, SAS, Teradata, Python, Power BI
Experience creating automated dashboards in Power BI
Ability to work independently and collaboratively in a fast-paced, data-driven environment.
Strong communication skills to present findings and recommendations to stakeholders.
Commitment to continuous learning and staying current with industry trends and tools.
Previous analytics experience in banking or consulting industries

Responsibilities

Utilize analytical tools such as Python, R, and SAS to manipulate and analyze large, complex datasets (e.g., customer level and block group level data) to generate insights and inform strategy.
Interpret and apply outputs from geospatial analytics (GIS) and AI/Machine Learning models to support business decision-making.
Collect, clean, validate, and structure data from multiple sources to ensure accuracy, consistency, and reliability of analysis.
Develop business cases and perform financial valuations that help leaders understand the economic impact and feasibility of proposed initiatives.
Package analytics, valuations, insights into executive ready presentations
Execute moderately complex, cross functional initiatives by partnering with strategy, finance, data science, operations, and technology teams.
Identify and recommend opportunities to improve analytical tools, automation, data processes, and reporting frameworks.
Support compliance with internal policies, controls, and regulatory requirements across all assigned initiatives.