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Fraud Analyst Jobs in Springdale, AR (NOW HIRING)

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$13

$27

$56

How much do fraud analyst jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for fraud analyst in Springdale, AR is $27.14, according to ZipRecruiter salary data. Most workers in this role earn between $18.70 and $29.95 per hour, depending on experience, location, and employer.

What does a fraud analyst do?

As a fraud analyst, your responsibilities are to monitor bank accounts, financial transactions, accounting paperwork, and other financial documents and analyze the data to identify any potential fraudulent activity. Fraud analysts work in several fields, including insurance, municipal, state, and federal law enforcement, finance, and banking, and your duties differ depending on the type of institution or agency for which you work. However, your tasks generally include using sophisticated software to pick up on patterns of behavior by a financial institution, business, or individual.

What does a fraud analyst do?

A Fraud Analyst is responsible for detecting, investigating, and preventing fraudulent activities within an organization, typically in the banking, finance, or retail sectors. They analyze transactions, monitor accounts for suspicious behavior, and use specialized software to identify patterns that may indicate fraud. Fraud Analysts work closely with other departments and law enforcement agencies to resolve cases and help develop strategies to minimize future risks.

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

To thrive as a Fraud Analyst, you need strong analytical skills, attention to detail, and a background in finance, accounting, or a related field, often supported by a bachelor's degree. Familiarity with fraud detection software, data analysis tools like SQL or Excel, and relevant certifications such as CFE (Certified Fraud Examiner) are commonly required. Strong problem-solving, critical thinking, and effective communication skills help Fraud Analysts investigate suspicious activities and collaborate with other departments. These skills and qualifications are essential for accurately identifying fraudulent behavior, minimizing financial losses, and upholding organizational integrity.

What are some typical challenges faced by fraud analysts, and how can they be addressed?

Fraud Analysts often deal with the challenge of distinguishing between legitimate and suspicious activities in large volumes of data, which requires keen attention to detail and strong analytical skills. Another common challenge is keeping up with evolving fraud tactics and technologies. To overcome these, analysts regularly participate in ongoing training, leverage advanced detection tools, and collaborate closely with IT and compliance teams. Open communication and knowledge sharing within the team also play key roles in staying ahead of potential threats.

What is the difference between Fraud Analyst vs Compliance Analyst?

AspectFraud AnalystCompliance Analyst
Required CredentialsCertifications like CFE, ACFE, or fraud-specific trainingCertifications such as CRCM, CAMS, or compliance-specific courses
Work EnvironmentFinancial institutions, e-commerce, insurance companiesBanking, finance, healthcare, and regulatory agencies
Employer & Industry UsageFocus on detecting and preventing fraud activitiesFocus on ensuring adherence to laws and regulations

While both Fraud Analysts and Compliance Analysts work within financial and regulated industries, Fraud Analysts primarily focus on identifying and preventing fraudulent activities, whereas Compliance Analysts ensure organizations follow legal and regulatory standards. Both roles require similar certifications and often operate in overlapping environments, but their core responsibilities differ significantly.

How much do fraud analysts get paid?

Fraud analysts typically earn a median annual salary of around $50,000 to $70,000, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with certifications can earn higher salaries, especially in financial services or technology sectors.

Is fraud analysis a good career?

Fraud analysis is a viable career that involves detecting and preventing financial crimes using data analysis and investigative skills. It often requires knowledge of fraud schemes, analytical tools, and sometimes certifications like Certified Fraud Examiner (CFE). The role offers opportunities for advancement and typically involves a structured work environment with regular hours.

What is the job of a fraud analyst?

A fraud analyst investigates and detects fraudulent activities by analyzing transaction data, patterns, and behaviors to prevent financial losses. They use tools like data analysis software and may need certifications such as Certified Fraud Examiner (CFE) to perform their duties effectively.

What qualifications do you need to be a fraud analyst?

A fraud analyst typically needs a bachelor's degree in finance, accounting, criminal justice, or a related field. Strong analytical skills, attention to detail, and experience with data analysis tools or fraud detection software are also important. Certifications such as Certified Fraud Examiner (CFE) can enhance qualifications.
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Fraud Analyst jobs near you
Infographic showing various Fraud Analyst job openings in Springdale, AR as of August 2026, with employment types broken down into 1% Internship, 79% Full Time, 13% Part Time, and 7% Contract. Highlights an 81% Physical, 9% Hybrid, and 10% Remote job distribution, with an average salary of $56,441 per year, or $27.1 per hour.

Data Scientist III - Fraud Analytics & Machine Learning

Sam's Club

Centerton, AR • On-site

Full-time

Posted 9 days ago

Sam's Club rating

6.4

Company rating: 6.4 out of 10

Based on 2,016 frontline employees who took The Breakroom Quiz

17th of 39 rated national retailers

Job description

Position Summary... What you'll do...Fraud Analytics & Machine Learning | Walmart Global Tech Help Shape the Future of Retail Intelligence

Every day, millions of customers trust Walmart to deliver a seamless shopping experience. Behind that experience is one of the world's largest and most sophisticated commerce ecosystems—and protecting it from fraud requires exceptional data scientists.

As a Data Scientist III on the Inkiru Data Science team, you'll transform billions of data points into intelligent solutions that identify fraud, reduce risk, and protect both customers and the business. You'll partner with engineers, product managers, and business leaders to build analytics and machine learning solutions that directly influence decisions at global scale.

If you're energized by solving complex problems, uncovering meaningful insights, and seeing your work deployed into production, we'd love to meet you.

Why This Role Matters

Fraud evolves every day—and so do we.

Our team combines advanced analytics, statistical modeling, machine learning, and AI to stay ahead of emerging threats while delivering a seamless experience for customers and associates.

Your work won't sit in a report.

It will power real products, influence strategic decisions, and help protect one of the largest retailers in the world.

What You'll Do

You'll make an impact by:

  • Detecting emerging fraud trends using large-scale behavioral, transactional, and operational data.

  • Building analytical models that improve fraud detection, risk management, and business decision-making.

  • Creating intuitive dashboards and visualizations that help leaders quickly understand key business metrics.

  • Partnering closely with Product, Engineering, Data Science, and Business teams to bring analytical solutions into production.

  • Exploring new analytical techniques—including machine learning and AI—to solve evolving business challenges.

  • Improving data quality through validation, governance, and scalable analytical processes.

  • Communicating complex findings through compelling storytelling that drives action.

What You'll Work With

You'll leverage modern technologies including:

  • Python

  • SQL

  • Spark

  • Hive

  • BigQuery

  • Distributed computing platforms

  • Tableau

  • Power BI

  • Machine Learning frameworks

  • Cloud-scale analytics platforms

  • AI-assisted analytics and modern data science workflows

Why You'll Love This Team

You'll join a collaborative team that values curiosity, experimentation, and continuous learning.

Here you'll have opportunities to:

  • Solve problems at one of the largest scales in retail.

  • Work with experienced data scientists and machine learning engineers.

  • Influence product strategy with data-driven insights.

  • Build solutions that move from concept into production.

  • Learn new technologies while working on meaningful business challenges.

  • Grow your career through mentorship, leadership opportunities, and cross-functional collaboration.

What Success Looks Like

Within your first year, you'll:

  • Deliver analytical solutions that influence fraud strategy.

  • Build trusted relationships across Product, Engineering, and Business teams.

  • Create scalable dashboards and reporting used by leadership.

  • Improve fraud detection through innovative analytical approaches.

  • Contribute to production-ready data science solutions that create measurable business value.

What You'll Bring

We're looking for someone who combines technical excellence with curiosity and business acumen.

Preferred qualifications include:

  • Strong analytical and statistical problem-solving skills.

  • Experience working with large, complex datasets.

  • Proficiency in SQL and Python (R is also welcome).

  • Experience with distributed computing technologies such as Spark, Hive, or BigQuery.

  • Familiarity with data visualization tools including Tableau, Power BI, or Looker.

  • Ability to communicate technical concepts clearly to both technical and non-technical audiences.

  • Passion for solving ambiguous problems using data.

  • Bachelor's degree in a STEM field with 3+ years of relevant experience, or a Master's degree with 1+ years of experience.

Bonus Points If You Have

  • Experience in fraud analytics, financial risk, cybersecurity, or trust and safety.

  • Experience building or deploying machine learning models.

  • Knowledge of experimentation, causal inference, or advanced statistical techniques.

  • Experience with Generative AI, LLMs, or AI-assisted analytics.

  • Experience working in cloud-native data environments.

Why Walmart Global Tech

Technology is reshaping how the world shops.

At Walmart Global Tech, you'll help solve problems that few companies can match in complexity or scale. Our teams build products and platforms that serve millions of customers, associates, and suppliers every day.

Here, your work has immediate impact.

You'll have access to world-class data, modern technologies, and talented teammates—all while helping build the future of retail.

Whether your passion is analytics, machine learning, artificial intelligence, or data engineering, you'll find opportunities to learn, innovate, and grow your career.

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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in an analytics or related field. Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 2101 Se Simple Savings Dr, Bentonville, AR 72712-4304, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

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