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Fraud Data Analyst Jobs (NOW HIRING)

Skyhigh Networks

Fraud Analyst

Charleston, WV · On-site +1

We are seeking an experienced Data Analyst to join our dynamic Payments & Risk team. In this role, you will be responsible for defining data requirements and building analytics dashboards to enable ...

Truist

Card Fraud Data Scientist II

Atlanta, GA · On-site

Experience analyzing fraud trends using large datasets , applying statistical techniques, SQL, and ... Hands-on expertise with fraud detection tools and data signals , including device intelligence ...

McAfee Corp.

Fraud Analyst

Reston, VA · On-site

We are seeking an experienced Data Analyst to join our dynamic Payments & Risk team. In this role, you will be responsible for defining data requirements and building analytics dashboards to enable ...

Truist

Card Fraud Data Scientist II

Atlanta, GA

Experience analyzing fraud trends using large datasets , applying statistical techniques, SQL, and ... Hands-on expertise with fraud detection tools and data signals , including device intelligence ...

IntraEdge

GCP Data Engineer

Austin, TX · On-site

$113K - $136K/yr

... our fraud data analytics and reporting efforts. * 8+ years of hands-on experience with data management in gathering data from multiple sources and consolidating them into a single centralized ...

IntraEdge

GCP Data Engineer

Austin, TX · On-site

$113K - $136K/yr

... our fraud data analytics and reporting efforts. * 8+ years of hands-on experience with data management in gathering data from multiple sources and consolidating them into a single centralized ...

Walmart

Data Analyst II - LMD Fraud Prevention

Lowell, AR · On-site

$70K - $130K/yr

Apply core analytics fundamentals--segmentation, trend analysis, anomaly detection, correlation testing--to uncover fraud patterns across large datasets. * Interpret mixed signals by combining data ...

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Fraud Data Analyst information

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How much do fraud data analyst jobs pay per year?

As of Jun 13, 2026, the average yearly pay for fraud data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Fraud Data Analyst position, and why are they important?

A Fraud Data Analyst should have a strong background in data analytics, statistics, and experience with financial or transactional data, often holding a degree in mathematics, statistics, computer science, or a related field. Familiarity with tools such as SQL, Python, R, anti-fraud software platforms, and certifications like Certified Fraud Examiner (CFE) are commonly expected. Analytical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and presenting findings to stakeholders. Together, these skills ensure accurate identification and prevention of fraud, helping organizations mitigate risks and maintain trust.

What does a Fraud Data Analyst do?

A Fraud Data Analyst detects and prevents fraudulent activities by analyzing data patterns, identifying suspicious transactions, and developing fraud detection models. They use statistical techniques, machine learning, and data visualization tools to uncover fraud trends and mitigate risks. Their role involves collaborating with fraud prevention teams, financial analysts, and law enforcement to enhance security measures. Additionally, they create reports and dashboards to monitor fraud metrics and improve fraud detection strategies.

What does a typical day look like for a Fraud Data Analyst?

A typical day for a Fraud Data Analyst involves analyzing large sets of financial or transactional data to detect unusual patterns or trends that might indicate fraudulent activity. You may collaborate closely with investigation teams, compliance officers, and IT professionals to refine detection models and respond quickly to potential threats. Weekly responsibilities also include creating detailed reports, documenting findings, and recommending improvements to internal controls or monitoring processes. This dynamic role often requires balancing independent analytical work with cross-functional teamwork to effectively combat fraud.

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Fraud Data Analyst jobs near you

Data Analyst

Futran Tech Solutions Pvt. Ltd.

Pittsburgh, PA • On-site

Full-time

Posted 10 days ago

Job description

Data Analyst
Pittsburg PA
Hybrid
We are seeking a highly skilled Developer to join our Fraud Development Team for one of top 10 US Banks. The ideal candidate will be responsible for developing Tableau dashboards and email automation solutions to support proactive fraud detection and monitoring documentation automation across key business lines - including Cards, Account Opening, Digital Channels, and Deposits.
This role requires a combination of strong technical expertise, analytical thinking, and the ability to deliver in a fast-paced, high-stakes environment.
Key Responsibilities
* Design, develop, and maintain interactive Tableau dashboards to support fraud monitoring and reporting needs.
* Build and automate email alert systems to help automate documentation for Fraud Monitoring Team.
* Write and optimize complex SQL and PySpark queries to extract, transform, and analyze large datasets from Hadoop and Oracle environments.
* Collaborate closely with business stakeholders to translate monitoring needs into actionable data solutions.
* Deliver quick-turnaround solutions for emerging fraud scenarios or urgent monitoring requirements.
* Manage project timelines and communicate progress, risks, and dependencies effectively in a high-velocity, deadline-driven environment.
* Think through and implement end-to-end workflows, ensuring data integrity, scalability, and automation.
* Contribute domain expertise in Fraud Management for US Banking - specifically across Cards, Account Opening, Digital, and Deposits fraud space.
Required Skills & Qualifications
* Advanced proficiency in: SQL, Python, PySpark, and Tableau.
* Hands-on experience with data extraction and processing from Hadoop and Oracle data environments.
* Proven ability to deliver results under tight timelines with high accuracy.
* Excellent communication and stakeholder management skills.
* Ability to understand complex data workflows and build robust, automated solutions.

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