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Wells Fargo

Senior Business Aligned Finance Analyst

Wells Fargo

. Provide financial analysis, forecasting, new vintage economics, and performance insights for Credit Card Rewards and Loyalty businesses .

Posted 11/10/2026full-timeUnited StatesSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in financial analysis, forecasting, and performance measurement within Credit Card Rewards and Loyalty businesses. Proficient in utilizing analytical tools to derive insights and influence business decisions while ensuring data integrity and compliance.

Highest-signal resume keywords
Financial AnalysisForecastingSQL ProficiencyData ValidationExecutive Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Financial ModelingProblem-SolvingRoot-Cause AnalysisFinancial PlanningProduct Performance Analysis
Soft Skills
Strong OwnershipAccountabilityCoachingMentoringBusiness Partnership
Tools & Technologies
SASPythonAdvanced ExcelPowerPointEssbase
Industry Keywords
Credit CardRewardsLoyaltyConsumer FinanceFinancial Services

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Provide financial analysis, forecasting, new vintage economics, and performance insights for Credit Card Rewards and Loyalty businesses
  • Partner with Branded Cards Originations, Product, Loyalty, Marketing, Account Management, Finance, Accounting, Analytics, and Technology teams
  • Analyze new originations profitability and growth economics
  • Analyze channel and offer allocations, underwriting and approval strategies
  • Support product launches and acquisition investments
  • Analyze rewards performance, customer behavior, earn and redemption activity, promotional offers, and partner economics
  • Connect operational and customer metrics to contra revenue, rewards liability, product profitability, and forecast outcomes
  • Develop driver-based forecasts and scenario analyses
  • Provide variance analysis against forecast, plan, and prior-year results
  • Identify risks and opportunities and present recommendations to business and finance leaders
  • Develop business cases and measure results from program changes, promotions, and strategic investments
  • Pull, combine, validate, and analyze data from multiple financial, customer, rewards, and operational systems
  • Use SAS, SQL, Python, or similar tools for driver analysis, forecasting, customer-behavior analysis, and performance measurement
  • Trace data through upstream and downstream systems to identify root causes of data-quality, reporting, or reconciliation issues
  • Create scalable datasets, metrics, and analytical solutions
  • Partner with Analytics and Technology teams to address data gaps and automate manual processes
  • Support month-end close for rewards liabilities and contra revenue, including reconciliations, accruals, and financial reporting
  • Partner with Accounting and Finance to ensure appropriate accounting treatment, accurate reporting, and effective controls
  • Maintain documentation of forecast methodologies, assumptions, data sources, and reconciliations
  • Prepare executive presentations and commentary explaining performance, implications, and recommended actions
  • Identify opportunities to simplify or automate routine reporting while maintaining control and accuracy
  • Follow applicable Wells Fargo risk and compliance programs, policies, and procedures

Requirements

What you’ll need
  • 4+ years of Finance experience, or equivalent demonstrated through work experience, training, military experience, or education
  • Experience working in Credit Card, Rewards, Loyalty, product-finance, or consumer-finance in financial services
  • Strong financial modeling, forecasting, problem-solving, root-cause-analysis, financial planning, and product performance
  • Experience independently pulling, validating, and analyzing complex datasets
  • Proficiency with SQL, SAS, Python, or similar analytical tools
  • Ability to translate complex analysis into concise recommendations and influence business decisions
  • Experience resolving data-quality and data-lineage issues across multiple systems
  • Bachelor’s degree or higher in Finance, Accounting, Economics, Analytics, Data Science, or a related field
  • Strong executive communication and business partnership skills
  • Advanced Excel and PowerPoint skills; experience with Essbase or comparable finance tools
  • Self-directed and highly motivated, demonstrating strong ownership and accountability while managing competing priorities and delivering results in a fast-paced environment
  • Leadership experience with a focus on coaching, training, mentoring others, project management, initiative or development programs
  • Must work from one of the listed hybrid locations
  • Relocation assistance is not available
  • Position is not eligible for Visa sponsorship

Benefits

Comp & perks
  • Relocation assistance is not available for this position
  • Not eligible for Visa sponsorship
  • Equal opportunity employment
  • Medical accommodation available upon request
  • Drug-free workplace