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Credit Card Data Analyst Jobs (NOW HIRING)

Senior Data Analyst - US Card

Mclean, VA · Hybrid

$86K - $109K/yr

When we launched as a startup we disrupted the credit card industry by individually personalizing ... As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build ...

Senior Data Analyst - US Card

Richmond, VA · Hybrid

$85K - $107K/yr

When we launched as a startup we disrupted the credit card industry by individually personalizing ... As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build ...

Showing results 41-60

Credit Card Data Analyst information

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$15

$29

$49

How much do credit card data analyst jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for credit card data analyst in the United States is $29.92, according to ZipRecruiter salary data. Most workers in this role earn between $23.08 and $33.65 per hour, depending on experience, location, and employer.

What is a credit card data analyst?

Credit Card Data Analysts are professionals who analyze data related to credit card transactions, customer behavior, and financial trends to help organizations make informed decisions. They use statistical methods and data analytics tools to identify patterns, detect fraudulent activities, and improve credit card products or services. Their work supports risk management, marketing strategies, and regulatory compliance for financial institutions and credit card companies.

What are the key skills and qualifications needed to thrive as a credit card data analyst?

To thrive as a Credit Card Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in finance or data science, typically supported by a relevant degree. Expertise in SQL, Python or R, data visualization tools like Tableau, and experience with credit card transaction systems or fraud detection platforms are highly valued. Attention to detail, critical thinking, and effective communication help analysts interpret data trends and present actionable insights. These skills are crucial for identifying risks, optimizing credit card operations, and supporting data-driven decision-making within financial institutions.

How does a credit card data analyst typically collaborate with other departments within a financial institution?

Credit Card Data Analysts often work closely with teams such as risk management, marketing, and IT. They provide actionable insights based on spending patterns, transaction data, and risk profiles to help these departments make informed decisions. For example, they might support marketing in developing targeted offers or assist risk teams in detecting fraudulent activity. Regular cross-functional meetings and shared reporting tools are common, ensuring that insights are communicated effectively and projects stay aligned with organizational goals.

What is the difference between Credit Card Data Analyst vs Credit Risk Analyst?

AspectCredit Card Data AnalystCredit Risk Analyst
Required CredentialsBachelor's in Finance, Data Analytics, or related field; proficiency in SQL and ExcelBachelor's in Finance, Economics, or related; strong analytical skills, often with certifications like FRM or CFA
Work EnvironmentFinancial institutions, credit card companies, data-driven teamsBanking, lending institutions, credit agencies
Employer & Industry UsageFocuses on analyzing credit card transaction data and customer behaviorAssesses creditworthiness and manages credit risk for lending

The main difference is that a Credit Card Data Analyst specializes in analyzing credit card transaction data to identify trends and improve services, while a Credit Risk Analyst evaluates the risk of lending to customers. Both roles require strong analytical skills and relevant certifications, but their focus areas and daily tasks differ within the financial industry.

What cities are hiring for Credit Card Data Analyst jobs?

Cities with the most Credit Card Data Analyst job openings:

What states have the most Credit Card Data Analyst jobs?

States with the most job openings for Credit Card Data Analyst jobs include:

What are popular job titles related to Credit Card Data Analyst jobs?

For Credit Card Data Analyst jobs, the most frequently searched job titles are:

Infographic showing various Credit Card Data Analyst job openings in the United States as of September 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $62,243 per year, or $29.9 per hour.

Data Science Vice President - Card Data Analytics

Wilmington, DE • On-site

Next Frontier Capital
Investment Clubs and Venture Capital Companies • 1 - 10 employees

Other

Medical, Retirement

Re-posted 8 days ago


Key responsibilities

  • Translate business questions into analytical approaches, build models and solutions, and communicate insights to influence strategy and outcomes.

  • Research, design, implement, and evaluate analytical approaches and models, including Generative AI-based methods.

  • Collaborate across teams to deliver high-quality analytical products and communicate findings to stakeholders.


Job description

You can help shape how data and AI drive decisions across our Credit Card business. You will work on high-impact problems end-to-end—translating business questions into analytical approaches, building models and solutions, and communicating insights that influence strategy and outcomes. Join a collaborative team where your work can directly improve customer and business experiences through responsible, scalable analytics.

As a Data Science Vice President at JPMorganChase within the Card Data & Analytics team, you will develop analytics and AI/ML solutions that support strategic initiatives and measurable business impact. You will partner across the Card organization to define problems, scope solutions, and deliver high-quality analytical products. You will combine consulting, data science, and programming to drive data science and analytics strategies and deliver actionable insights.

Job responsibilities
  • Leverage experience and analytical skills to uncover novel use cases of Big Data analytics, including opportunities to responsibly apply foundation models and Generative AI
  • Drive data science and analytics strategies, including recommendations on analytical products and standards
  • Help partners define business problems and scope analytical solutions
  • Build an understanding of problem domains and available data assets
  • Research, design, implement, and evaluate analytical approaches and models, including Generative AI-based methods
  • Perform exploratory statistics and data mining tasks on diverse datasets
  • Communicate findings and obstacles to stakeholders to drive delivery to market
  • Develop subject matter expertise in financial and operational domains
  • Code solutions using strong programming skills
  • Collaborate across teams to deliver the best solutions for clients
Required qualifications, capabilities and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Bachelor’s degree in a relevant quantitative field and 5+ years of data analytics experience, or advanced degree and 2+ years of experience
  • Exceptional analytical, quantitative, problem-solving, and communication skills
  • Intellectual curiosity for solving business problems
  • Leadership and collaboration skills
  • Knowledge of statistical software (for example, Python, R, SAS) and data querying languages (for example, SQL)
  • Familiarity with Generative AI and prompt engineering basics (prompt design, evaluation, guardrails)
  • Experience with modern analytics tools (for example, SAS, SQL, Hive, Hadoop, Spark, Python, Tableau, Alteryx)
  • Ability to convey complex information to technical and non-technical audiences
Preferred qualifications, capabilities and skills
  • Experience with large language model-enabled applications such as retrieval-augmented generation, classification or extraction from unstructured text, or agent-like workflows; exposure to evaluation methods for quality, cost, and latency
  • Understanding of key drivers within the credit card profit and loss statement
  • Financial services background
  • Master of Science degree or equivalent

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

Drive credit card growth with analytics and AI/ML solutions, partnering across the business to deliver actionable insights.

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