About this role: Wells Fargo is seeking a data driven, technically proficient Senior Business Execution Consultant to join the Branch Channel Management Strategy & Operations team. This role is ideal for someone with data analytics and infrastructure management skills and a passion for leveraging data to support and advance branch strategy initiatives. In this position, you will work with large and complex data sets (including customer and block group–level data), build Power BI dashboards that deliver actionable insights, automate business case presentation materials, and contribute to broader data infrastructure and reporting enhancements. If you thrive in a fast paced environment, enjoy streamlining and automating data processes, and are excited about creating clear, impactful dashboards that guide strategic decisions, 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: 

• Pull, clean, and manipulate large and granular datasets (customer level, block group level, demographic, and operational).  

• Build high quality Power BI dashboards with optimized DAX measures, drill paths, tooltips, and KPIs that support executive business reviews.  

• Develop automated scripts, ETL jobs, and reusable analytical pipelines using Python, SQL, and SAS.  

• Streamline and automate manual processes, including the creation of business case decks, reporting packages, and recurring analytics.  

• Support data infrastructure enhancements through query optimization, data modeling, and workflow orchestration.  

• Apply statistical methods to analyze trends, test hypotheses, build forecasts, and derive actionable insights.  

• Translate complex analytical output into clear, concise insights that inform branch strategy and senior leader decision making. 

 
Required Qualifications: 

• 4+ 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
• 4+ years of Advanced data analytics and statistical modeling

 
Desired Qualifications: 

Python 

• Develop efficient, reusable scripts for data wrangling, validation, and analysis. 

• Build scheduled jobs and automated workflows to support recurring reporting. 

• Design scalable automation pipelines. 

SQL 

• Write and optimize complex SQL queries, stored procedures, and ETL logic. 

• Build and maintain data models and analytical tables to support reporting and dashboards. 

SAS 

• Create SAS programs for data processing, transformations, and analytics. 

• Migrate existing SAS logic into Python/SQL based pipelines where applicable. 

Power BI/Tableau 

• Build high performance dashboards with optimized DAX measures. 

• Design intuitive drilldowns, tooltips, navigation, and KPI frameworks. 

Alteryx 

• Efficiently build automated, repeatable data workflows that streamline preparation, blending, analysis, and delivery across large and complex datasets. 

Automation & Orchestration 

• Identify opportunities to eliminate manual effort. 

• Develop automations using Python, PowerShell, SAS, RPA tools, or workflow orchestrators. 
• Skilled in developing automated, end‑to‑end data pipelines leveraging scripting, BI platforms, and coding, with strong expertise in statistical methods, data quality controls, and analytical governance. 

Statistical Methods & Analysis 

• Strong knowledge of hypothesis testing, probability, regression, ANOVA, clustering, and timeseries forecasting. 

• Experience with SAS/STAT procedures (PROC REG, PROC GLM, PROC LOGISTIC, PROC ARIMA, PROC MIXED, PROC SURVEY*). 

• Ability to turn statistical results into business recommendations. 

Job Expectations: 

• Ability to travel up to 5% of the time 

Posting Locations: 

• 401 South Tryon Street, Charlotte, North Carolina
• 550 S 4th St, Minneapolis, Minnesota
• 2700 South Price Road, Chandler, Arizona
• 800 S Jordan Creek Pkwy, West Des Moines, Iowa
• 401 Las Colinas Blvd, Irving TX

Pay Range
 

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

$87,000.00 - $154,000.00

Posting End Date:

8 Feb 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

 

Wells Fargo maintains a drug free workplace.  Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.