Workforce Capacity Predictive Modeling Analyst

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed.  We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.

Job Description

We are seeking a highly skilled and analytical Workforce Capacity Predictive Modeling Analyst to join our team. This role is responsible for developing and optimizing predictive models that support workforce planning and capacity forecasting. The ideal candidate will have strong technical expertise, a strategic mindset, and the ability to communicate complex data insights to non-technical stakeholders.

Responsibilities:

• Design and build predictive models to support workforce capacity planning.

• Apply machine learning techniques and statistical modeling to forecast workforce needs.

• Conduct scenario planning and simulations to evaluate potential outcomes.

• Perform data preprocessing and feature engineering to enhance model performance.

• Optimize models for accuracy, scalability, and performance.

• Present technical findings and insights to business stakeholders in a clear and actionable manner.

• Collaborate with team and stakeholders to align modeling efforts with business strategy.

• Translate complex analytical concepts into business-friendly language.

• Create reports and visualizations using Excel and PowerPoint to support decision-making.

Required Skills/Experience:

• Bachelor's degree in a related field, or equivalent work experience

• Four to five years of statistical and/or data analytics experience

• Advanced programming experience in Python, R, or similar languages

• Proficiency in machine learning and predictive algorithms

• Strong background in statistical modeling and validation

• Experience with Excel and PowerPoint for reporting and presentation

• Excellent communication skills, with the ability to translate complex models into business insights

• Strong problem-solving abilities with a mathematical mindset

• Demonstrates curiosity and a commitment to continuous learning

• Proven ability to build predictive models from scratch.

• Experience in model optimization and performance tuning.

• Skilled in scenario planning and simulation techniques.

• Expertise in data preprocessing and feature engineering.

• Ability to present technical findings to non-technical audiences.

• Experience managing stakeholders at the AVP level.

Preferred skill/experience:

• Basic Power BI knowledge and experience

• Workforce/capacity planning domain knowledge

• Experience with cloud platforms such as AWS and Azure

• Understanding of business strategy

Location Expectations

The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.

Location Requirement: Candidates must reside in or near Atlanta, GA, Gresham, OR, Cincinnati, OH , or Saint Paul, MN.

If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.

Benefits: 

Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours):

• Healthcare (medical, dental, vision)

• Basic term and optional term life insurance

• Short-term and long-term disability

• Pregnancy disability and parental leave

• 401(k) and employer-funded retirement plan

• Paid vacation (from two to five weeks depending on salary grade and tenure)

• Up to 11 paid holiday opportu