Senior Business Execution Consultant -Branch Distribution Data Analyst

Wells Fargo & Company•Minneapolis, MN

1d•$87,000 - $154,000

About The Position

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.

Requirements

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

Nice To Haves

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.

Responsibilities

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.