Business Analyst, Branded Cards Strategy & Analytics

Wells Fargo Bank•Wilmington, DE

6d•$77,000 - $133,000•Hybrid

About The Position

Wells Fargo Credit Cards is seeking a Business Analyst to help shape the strategy and future direction of its Branded Cards business. The role works across business strategy, product, marketing, credit, risk, analytics, operations, and customer experience to address complex business problems, identify growth opportunities, and develop data-driven strategies that deliver business value. It offers broad exposure across the Cards business and opportunities to build skills in strategic problem-solving, portfolio and customer strategy, business case development, and general management. The analyst will deliver complex profit and loss initiatives related to product and customer performance, marketing outcomes, or operational efficiency, supporting ideation, design, execution, and measurement. The role contributes to business cases across areas such as marketing acquisition, credit risk, and analytics; develops analysis plans; evaluates trade-offs; and turns insights into recommendations. The position is hybrid and requires willingness to work on-site at one of the listed locations: Wilmington, Delaware; Charlotte, North Carolina; or Irving, Texas. Relocation assistance is not available. The stated base pay range is $77,000 to $133,000, with possible incentive opportunities.

Requirements

At least 2 years of business analysis, strategy, product, marketing, finance, credit risk, or related analysis experience, or equivalent demonstrated through work experience, training, military experience, education, or a combination.
Willingness to work on-site at one of the stated locations on a hybrid schedule.
Strong analytical, business analysis, and structured problem-solving skills, including the ability to translate complex business challenges into actionable recommendations.
Strong written and verbal communication skills, including developing business cases, presenting findings, communicating data-driven stories, and influencing stakeholders.
Ability to partner effectively with cross-functional teams and business leaders to drive initiatives, process improvements, and measurable results.
Ability to work independently and collaborate effectively across teams and stakeholders.

Nice To Haves

Bachelor’s degree in Business, Finance, Economics, Statistics, Analytics, Mathematics, Engineering, Computer Science, or a related quantitative field.
Experience using SQL, Python, Excel, Tableau, Power BI, or similar tools to extract, analyze, model, visualize, and communicate data-driven insights.
Experience analyzing credit cards, consumer lending, payments, banking, fintech, or financial services portfolios to identify trends, risks, growth opportunities, and performance drivers.
Experience applying strategic thinking and data-driven decision-making to improve customer, portfolio, product, and business outcomes.
Knowledge of customer acquisition, engagement, retention, portfolio management, credit risk, fraud, marketing analytics, or related cards business functions.
Experience conducting customer, market, competitive, and portfolio analysis to support strategic decisions and growth initiatives.
Demonstrated intellectual curiosity, adaptability, and ability to thrive in fast-paced, ambiguous environments while managing multiple priorities.
Consulting, strategy, business transformation, or financial services analytics experience.

Responsibilities

Deliver complex profit and loss initiatives related to business product and customer performance, marketing outcomes, or operational efficiency, supporting ideation, design, execution, and measurement.
Contribute to business cases across marketing acquisition, credit risk, and analytics by translating product and customer growth strategy into analysis plans and evaluating credit risk, operational impacts, and return-on-investment trade-offs.
Frame complex and ambiguous business problems, combine product and customer insights, and develop recommendations using hypothesis-driven data modeling.
Build queries, models, and dashboards to analyze and display data for business discussions.
Develop an understanding of how product variables and features affect customer conversion and go-to-market efforts.
Monitor post-launch performance and identify and document emerging risks by analyzing performance data, customer behavior, and marketing results.
Collaborate and consult with stakeholders in marketing acquisition, finance, analytics, risk, product delivery, technology, and operations.
Follow applicable risk programs, policies, procedures, and compliance obligations; monitor, identify, escalate, and remediate issues; and make sound risk decisions.