Digital Product FP&A Analyst

US Bank; Minneapolis (MN); Hybrid; USD 90,000 - 125,000; Full time

Benefits offered by this job

Healthcare (medical, dental, vision)

401(k) retirement plan

Paid vacation and holidays

Disability and life insurance

Job summary

U.S. Bank is seeking a Financial Analyst within the Digital Product group of Consumer & Business Banking. You will handle financial planning, budgeting, forecasting, and variance analysis for two digital organizations, partnering with leaders and project teams on digital initiatives.

The role emphasizes advanced Excel, financial modeling, and reporting across large datasets, with opportunities to lead projects and drive operational efficiency.

Qualifications

• Bachelor's degree, or equivalent work experience.
• Typically six or more years of related experience.
• Experience with financial analysis, budgeting, forecasting, reporting, and capital expenditures.

Responsibilities

• Support P&L activities with focus on expense management, budgeting, monthly forecasting, and variance analysis.
• Provide financial analysis for capital expenditures, business cases, and ad hoc requests.
• Develop models, dashboards, and management presentations.
• Identify trends, risks, opportunities, and translate findings into actionable recommendations.
• Partner with business leaders and present financial results to senior management.
• Improve reporting in financial systems and large datasets to enhance forecasting accuracy and efficiency.

Skills

Financial analysis

Variance analysis

Forecasting

Cross-functional collaboration

Presentation skills

Education

Bachelor's degree or equivalent experience

Tools

Essbase

Hyperion

Excel (advanced)

Job description

U.S. Bank is seeking a Financial Analyst within the Digital Product group of Consumer & Business Banking. You will handle financial planning, budgeting, forecasting, and variance analysis for two digital organizations, partnering with leaders and project teams on digital initiatives.

The role emphasizes advanced Excel, financial modeling, and reporting across large datasets, with opportunities to lead projects and drive operational efficiency.