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Fraud Data Analyst Jobs in Utah (NOW HIRING)

Weave

Fraud Analyst

Lehi, UT · On-site

Analyze high-value transactions for potential fraud, employing keen analytical skills to identify ... You have previous experience creating and running data queries. * You have experience with Stripe

UnitedHealth-Grou

Senior Fraud Analyst - Remote

Draper, UT · On-site

$72K - $130K/yr

Analyze data for trends and recommend strategies to reduce risk and fraud * Represent the Fraud Team on new products, projects and programs to help ensure fraud risks and controls are considered ...

Bread Financial

Manager - Fraud Analytics

Draper, UT · On-site +1

Data Analytics * Data Management * Risk Management Strategies * Fraud Controls Reports To : Director and above Direct Reports : 2 - 5 Work Environment * Normal office environment. (Remote or Hybrid ...

Brex

Fraud Operations Associate

Salt Lake City, UT · Hybrid

$76K - $96K/yr

Partner with Policy, Data Science, and Engineering to improve tooling to scale internal operations ... Excellent interpersonal, analytical, and problem-solving skills with the ability to manage ...

Brex

Fraud Operations Associate

Salt Lake City, UT · On-site

$76K - $96K/yr

Partner with Policy, Data Science, and Engineering to improve tooling to scale internal operations ... Excellent interpersonal, analytical, and problem-solving skills with the ability to manage ...

Weave

Data Engineer Intern

Lehi, UT · On-site

Data Analysis and Exploration: Conduct data exploration and preliminary analysis to support the ... Beware of recruitment fraud . All official correspondence will occur through Weave branded email.

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Fraud Data Analyst information

See Utah salary details

$31K

$75.2K

$123.8K

How much do fraud data analyst jobs pay per year?

As of Sep 13, 2026, the average yearly pay for fraud data analyst in Utah is $75,233.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $88,300.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a fraud data analyst, 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 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.

What are popular job titles related to Fraud Data Analyst jobs in Utah?

For Fraud Data Analyst jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Fraud Data Analyst jobs in Utah look for?

The top searched job categories for Fraud Data Analyst jobs in Utah are:

Fraud Data Analyst jobs near you
Infographic showing various Fraud Data Analyst job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $75,233 per year, or $36.2 per hour.

Fraud Analyst

Lehi, UT • On-site

Weave
Outpatient Health Care • 51 - 200 employees
Learn more about Weaveexternal

Full-time

Re-posted 22 days ago

Job description

Our Payments Risk Management Team is seeking a highly motivated and detail-oriented Fraud Analyst to be the cornerstone of our fraud management program. In this role, you will play a critical part in safeguarding our business from financial losses due to fraudulent activity. You will implement and execute strategies to identify, investigate, and prevent high-value transaction fraud, suspicious merchant behavior, and other financial threats.
  • This position will be hybrid based out of our Lehi, UT HQ
  • Reports to: Payments Risk Manager
What You Will Own
  • High-Value Transaction Scrutiny: Analyze high-value transactions for potential fraud, employing keen analytical skills to identify red flags and escalate suspicious activity for further investigation.
  • Fraudulent Transaction Investigation: Conduct comprehensive investigations into fraudulent and high-risk transactions, utilizing your analytical expertise to uncover patterns and identify the root cause. Collaborate effectively with internal teams and merchants to resolve these cases decisively.
  • Suspicious Merchant Activity Detection: Proactively monitor merchant accounts for anomalous, suspicious, and prohibited behavior. This includes identifying changes in transaction patterns (bank account alterations, payment volume fluctuations, high dispute rates, sudden average transaction amount shifts) and taking appropriate action.
  • Merchant Risk Assessment in Collaboration with Risk Management: Partner with the Risk Management team to develop and implement a risk assessment framework to evaluate merchant activity and pinpoint potential fraud risks. This may involve constructing scoring models or integrating automated monitoring tools.
  • Fraud Management Program Development in Partnership with Risk Management: As our inaugural dedicated Fraud Analyst, you will be a key figure in building and optimizing our fraud management tools and processes, working collaboratively with the Risk Management team. You will take the initiative to research new technologies and strategies to enhance our fraud detection capabilities.
What You Will Need to Accomplish the Job
  • 3-5 years of experience in financial investigations, payment fraud analysis, or a closely related field is required.
  • Strong analytical skills with the ability to identify patterns, trends, and anomalies in financial data are essential.
  • Demonstrated problem-solving expertise, with a talent for investigating complex financial issues, drawing logical conclusions, and formulating effective solutions.
  • Meticulous attention to detail to ensure accurate analysis and identification of suspicious activity.
  • Excellent written and verbal communication skills to present complex financial information to both technical and non-technical audiences.
  • Proficiency with technology, with a willingness to learn new fraud detection and investigation tools, and a desire to adapt to evolving fraud trends.
  • Strong sense of initiative and proactiveness. You are a self-starter with the ability to identify areas for improvement and propose innovative solutions.
What Will Make Us Love You
  • This role is ideal for a highly motivated and results-oriented individual with a passion for safeguarding financial systems.
  • You have previous experience creating and running data queries.
  • You have experience with Stripe
  • Beginner-Intermediate experience in SQL proficiency
  • You can create and run reports in Snowflake
  • You can create and run reports in with Sigma
  • You are a critical thinker who thrives in a fast-paced environment and enjoys a challenge.
  • Your strong work ethic, collaborative spirit, and dedication to continuous learning will be instrumental in building a robust and effective fraud management program for our company.

Employment with Weave is contingent upon the successful completion of a background check, conducted in accordance with applicable laws.
At Weave, we use Artificial Intelligence (AI) tools to help us work more efficiently and create a smoother candidate experience. AI may assist with things like writing job descriptions, scheduling interviews, or reviewing applications against job-related criteria. For additional information, please review the External AI Policy Statement available on our Careers page.
Weave is an equal opportunity employer that is committed to fostering an inclusive workplace where all individuals are valued and supported. We welcome anyone who is hungry to learn, problem-solve and progress regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other applicable legally protected characteristics. If you have a disability or special need that requires accommodation, please let us know.
Beware of recruitment fraud. All official correspondence will occur through Weave branded email. We will never ask you to share bank account information, cash a check from us, or purchase software or equipment as part of your interview or hiring process.

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