Data Science Associate

Wells Fargo • Irving, TX

1d • Hybrid

About The Position

Wells Fargo is seeking a Data Science Associate to support Branch Banking Analytics. In this role, you will leverage data, analytics, and statistical techniques to help identify trends, improve branch staffing strategies, and support business decision-making across the retail network. Working closely with business partners and analytics teams, you will transform complex data into actionable insights, develop analytical solutions, and contribute to initiatives that enhance branch productivity, customer experiences, and operational performance.

Requirements

• 6+ months of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 6+ months of experience using SQL, Python, SAS, R, or similar tools to extract, manipulate, and analyze data.
• 6+ months of experience applying analytical, statistical, or quantitative techniques to solve business problems.

Nice To Haves

• Experience applying quantitative and analytical techniques to identify trends, solve business problems, and inform decision-making.
• Proficiency in SQL, SAS, or Python; statistical modeling experience is a plus.
• Experience with Power BI, Tableau, or similar data visualization tools.
• Experience with business performance analytics and KPI development.
• Experience supporting workforce planning, staffing analytics, customer analytics, or operational analytics.
• Financial services, retail banking, or customer analytics experience.
• Knowledge of predictive modeling, forecasting, machine learning, or statistical analysis techniques.
• Ability to translate complex data into clear, compelling narratives and build productive working relationships across business and technical teams.

Responsibilities

• Participate in low complexity initiatives by utilizing data-driven, advanced analytical and statistical techniques that identify trends, diagnose problems, and build actionable insights or recommendations for branch network staffing
• Review and analyze basic business, operational, technical assignments, or challenges that require research, evaluation, and selection of alternatives to convert data into meaningful insights and develop low to medium risk recommendations
• Receive direction from manager and exercise independent judgment while developing an understanding of analytic capabilities that address specific business needs and problems around branch staffing, productivity and customer trends
• Collaborate and consult with managers, functional colleagues, and stakeholders to develop an understanding of needs and requirements
• Participate in building operationalized analytics tools and platforms using data to discover insights, diagnose problems, and optimize performance
• Apply algorithms, leveraging programming knowledge, to mine large sets of structured and unstructured data from various sources
• Ensure accuracy and uniformity by cleaning and validating the data
• Interpret and analyze data, using advanced analytics modeling methods and programming, to help isolate patterns, solve problems, and influence low to medium risk business decisions and strategies

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed