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Card Analyst Jobs (NOW HIRING)

PA · On-site

$63K - $76K/yr

Analyst II - Purchase Card (P-Card) Reports to: Senior Accountant - Purchase Card/Travel Administrator PC#: 19042 Pay Grade: 402 Duty Days: 239 Salary: $63,576 - $76,600 FLSA Status: Exempt Position ...

Credit Card Data Analyst Location: Mclean, VA, Richmond, VA and Plano, TX (Try for Local) (Open for Remote As well) Relocation is accepted as well/ Remote (CST Time Zone) Hybrid Location if Onsite ...

The Operations Analyst plays a critical role in ensuring the successful execution of the Gift Card program by maintaining operational excellence, resolving issues, and supporting continuous process ...

Gift Card Operations Analyst

Irvine, CA · On-site

$98K - $110K/yr

Gift Card Operations Analyst Hybrid Location Requirement: Hybrid onsite in Irvine, CA * Taco Bell is looking for a highly organized, detail-oriented operator to support the execution and delivery of ...

We are seeking a full time Credit Card Specialist to join our team. Under general supervision, the ... Demonstrated analytical and problem-solving skills. * Able toinitiateand embrace change.

Credit Card Associate

Westminster, MD · On-site +1

$38K - $40K/yr

Analyze account activity and maintain accurate customer account records. * Perform account maintenance, including documentation for write-offs when necessary. * Performs daily credit card reporting ...

Gift Card Operations Analyst

Irvine, CA · On-site

$98K - $110K/yr

The Operations Analyst plays a critical role in ensuring the successful execution of the Gift Card program by maintaining operational excellence, resolving issues, and supporting continuous process ...

Showing results 41-60

Card Analyst information

See salary details

$31K

$73.3K

$130K

How much do card analyst jobs pay per year?

As of Sep 15, 2026, the average yearly pay for card analyst in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

What is a card analyst?

Card Analysts are financial professionals who monitor and analyze credit and debit card transactions to detect fraudulent activity, assess risk, and ensure compliance with regulations. They review transaction patterns, investigate suspicious behavior, and recommend actions to prevent losses. Card Analysts also work closely with other banking and security teams to improve fraud detection systems and processes. Their work helps protect both financial institutions and customers from card-related fraud.

What are the key skills and qualifications needed to thrive as a card analyst, and why are they important?

To thrive as a Card Analyst, you need strong analytical skills, attention to detail, and a background in finance, accounting, or data analysis—often supported by a relevant degree. Familiarity with credit card processing systems, fraud detection tools, and advanced Excel or data visualization software is typically required. Excellent problem-solving abilities, communication skills, and a proactive mindset help you excel in identifying trends and preventing financial risks. These competencies are crucial for ensuring accurate analysis, minimizing fraud, and supporting informed business decisions in the payments industry.

What are some common challenges faced by card analysts and how can they be addressed?

Card Analysts often encounter challenges such as rapidly evolving fraud tactics, high transaction volumes, and the need to ensure compliance with regulatory standards. Staying current with the latest fraud detection technologies and industry trends is essential. Collaboration with IT, risk management, and customer service teams can help address these challenges by fostering a comprehensive approach to risk mitigation. Regular training, adopting advanced analytics tools, and clear communication within the team are effective strategies for success in this role.

What are popular job titles related to Card Analyst jobs?

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

Infographic showing various Card Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $73,261 per year, or $35.2 per hour.

Senior Decision Science Analyst - Bank Credit Card Analytics

Colorado Springs, CO • On-site

USAA
Finance and Insurance • 10K+ employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


USAA rating

8.2

Company rating: 8.2 out of 10

Based on 265 frontline employees who took The Breakroom Quiz


Job description

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful.

We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs.

The Opportunity

As a dedicated Senior Decision Science Analyst for Bank Credit Card Analytics, you will provide decision support for business areas across the association. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies.

Relocation assistance is not available for this position.

This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week.

What you'll do:

  • Leverages advanced business, analytical and technical knowledge to participate or lead discussions with cross functional teams to understand and collaborate highly complex business objectives and influence solution strategies.
  • Applies advanced analytical techniques to solve business problems that are typically medium to large scale with significant impact to current and/or future business strategy.
  • Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change.
  • Translates recommendation into communication materials to effectively present to various levels of management.
  • Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.
  • Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).
  • Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.
  • Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.
  • Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.
  • Succinctly delivers analysis/findings in a manner that conveys understanding, influences various levels of management, garners support for recommendations, drives business decisions, and influences business strategy.
  • Provides subject matter expertise in operationalizing recommendations.
  • Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data).
  • Identifies opportunities to continue to learn in the data and analytics space, whether informal (e.g., Coursera, Udemy, Kaggle, Code Up, etc.) or formal (e.g.Certifications or advanced coursework).
  • Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have:

  • Bachelor's degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science, or a business or quantitative field; OR 4 years of relevant education and/or experience.
  • 6 years of data & analytics experience OR a minimum of 4 years of data & analytics experience and up to 2 years of progressive functional business relevant experience within the respective industry of responsibility (i.e.P&C, Bank, Finance, Marketing etc.) for a total of 6 years combined experience OR advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline and 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e.P&C, Bank, Finance, Marketing, etc.).
  • Demonstrates advanced skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.
  • Advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
  • Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.

What sets you apart:

  • Advanced Quantitative Degree
  • 2 or more years’ experience in a decision support analytical function
  • 2 or more years’ experience in Bank analytics
  • Experience (Proficient) in SAS, SQL, Python, or R
  • Experience in statistical modeling including machine learning techniques, and generative AI
  • Familiar with Agile methodologies
  • US military experience gained through military service or gained as a military spouse / domestic partner

Compensation range: The salary range for this position is: $114,080 - $218,030.

USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

 

USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.


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