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Fraud Tableau Jobs (NOW HIRING)

ALOIS LLC

Sr Fraud Analyst

San Jose, CA · On-site

$140K - $165K/yr

Build dashboards, reporting solutions, and visualizations using SQL, Tableau, and related analytics ... Fraud/risk analytics * Transaction analytics * Hands-on expertise in SQL is required; Python ...

Steampunk

Tableau Architect

Mclean, VA · On-site +1

$100K - $145K/yr

Overview We are looking for seasoned Tableau Architect to work with our existing team of Data ... We reserve the right to take your picture to verify your identity and prevent fraud. Steampunk is a ...

Steampunk

Tableau Architect

Mclean, VA

$100K - $145K/yr

Overview We are looking for seasoned Tableau Architect to work with our existing team of Data ... We reserve the right to take your picture to verify your identity and prevent fraud. Steampunk is a ...

Steampunk

Tableau Architect

Mclean, VA

$100K - $145K/yr

We are looking for a more than just a "Tableau Expert", but a technologist with excellent ... We reserve the right to take your picture to verify your identity and prevent fraud. Steampunk is a ...

Etsy

Fraud Investigator, Marketplace Fraud

New York, NY · On-site

$91K - $119K/yr

The role involves performing core enforcement reviews, conducting deep-dive fraud investigations ... Proficiency in SQL and data visualization tools such as Looker or Tableau to extract actionable ...

Etsy

Fraud Investigator, Marketplace Fraud

New York, NY · On-site +1

$91K - $119K/yr

The role involves performing core enforcement reviews, conducting deep-dive fraud investigations ... Proficiency in SQL and data visualization tools such as Looker or Tableau to extract actionable ...

Amivero

Fraud Data Analyst - GSA Fraud

Washington, DC

You will implement and practice fraud monitoring, fraud analytics, fraud alerting, fraud prevention ... Tableau. • Experience with both relational and non-relational database systems and database ...

New

SoFi

Fraud Model Developer

Jacksonville, FL · On-site

The Senior Fraud Model Developer is accountable for measurable fraud loss reduction and false ... Deep expertise in Python, SQL, and data visualization tools (e.g., Tableau) * Strong knowledge of ...

Grubhub Holdings Inc.

Analyst, Fraud Strategy

Chicago, IL · On-site

$96K - $102K/yr

Hands-on experience with data visualization tools such as Tableau or Excel. * Experience automating reporting and building monitoring dashboards. * Knowledge of fraud vectors, tools, strategies, and ...

Home Depot

Sr. Analyst - Gift Card Fraud

Atlanta, GA · On-site

The Sr. Fraud Analyst - Gift Cards is responsible for all data, processes, and strategy around Gift ... Working knowledge of Tableau. * Demonstrated ability to collaborate and work effectively with cross ...

Grubhub Holdings Inc.

Analyst, Fraud Strategy

New York, NY · On-site

$96K - $102K/yr

Hands-on experience with data visualization tools such as Tableau or Excel. * Experience automating reporting and building monitoring dashboards. * Knowledge of fraud vectors, tools, strategies, and ...

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How much do fraud tableau jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for fraud tableau in the United States is $56.24, according to ZipRecruiter salary data. Most workers in this role earn between $46.39 and $66.35 per hour, depending on experience, location, and employer.

What is the difference between Fraud Tableau vs Fraud Analyst?

AspectFraud TableauFraud Analyst
Required CredentialsExperience with Tableau, data visualization skills, basic fraud detection knowledgeAnalytical skills, understanding of fraud schemes, sometimes certifications like CFE
Work EnvironmentData visualization and reporting teams, often in finance or banking sectorsFraud investigation teams, risk management departments
Employer & Industry UsageFinancial institutions, insurance companies, e-commerceBanking, credit card companies, retail
Common Search & ComparisonFocuses on data visualization of fraud dataFocuses on investigating and analyzing fraud cases

Fraud Tableau primarily involves creating visual dashboards and reports to identify fraud patterns, while Fraud Analysts investigate specific fraud cases and analyze data to prevent future incidents. Both roles are essential in fraud prevention but differ in their core functions and skill sets.

How does a Fraud Analyst using Tableau typically collaborate with other departments to identify and mitigate fraudulent activities?

Fraud Analysts who specialize in Tableau often work closely with teams such as compliance, risk management, IT, and customer support. They use Tableau to visualize transaction data, detect patterns, and share dashboards that highlight potential fraud cases. Regular meetings with stakeholders allow them to discuss findings, refine detection rules, and implement preventative measures. This collaboration ensures rapid response to emerging threats and fosters a proactive approach to fraud prevention.

What are the key skills and qualifications needed to thrive as a Fraud Analyst specializing in Tableau, and why are they important?

To thrive as a Fraud Analyst specializing in Tableau, you need a solid background in data analysis, fraud detection methodologies, and experience with business intelligence tools, often supported by a degree in finance, statistics, or a related field. Expertise in Tableau for data visualization, SQL for querying databases, and familiarity with fraud management systems are typically required. Strong analytical thinking, attention to detail, and effective communication help you interpret findings and present actionable insights to stakeholders. These skills are crucial for identifying fraudulent activity quickly and enabling data-driven decision-making to protect the organization.

What are Fraud Tableau specialists?

Fraud Tableau specialists are professionals who use Tableau, a data visualization tool, to detect, analyze, and prevent fraudulent activities within organizations. They create dashboards and reports that help identify suspicious patterns or anomalies in data, enabling businesses to respond quickly to potential fraud. These specialists often work closely with fraud analysts, data scientists, and compliance teams to ensure data integrity and support decision-making processes. Their expertise combines knowledge of fraud detection techniques with advanced Tableau skills to provide actionable insights.
Infographic showing various Fraud Tableau job openings in the United States as of May 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $116,980 per year, or $56.2 per hour.

Sr Fraud Analyst

ALOIS LLC

San Jose, CA • On-site

$140K - $165K/yr

Full-time

Posted 17 days ago

Job description

Senior - Payments & Fraud Analytics

Employment: Full-Time

Location: San Jose, CA (Hybrid) | Full-Time

Industry: Fintech
 

For one of our Fortune client we are hiring for a high-impact Payments & Fraud Analytics role with a fast-paced analytics team focused on optimizing payment performance, reducing fraud losses, and driving data-backed business decisions.

This opportunity is ideal for someone who combines strong analytical and technical skills with a consulting mindset and deep exposure to payments and fraud domains.

What You’ll Do
  • Analyze large-scale payment and fraud transaction data to identify trends, anomalies, and business opportunities.
  • Drive insights related to credit/debit card payments, fraud prevention, authorization optimization, chargebacks, and customer experience.
  • Build dashboards, reporting solutions, and visualizations using SQL, Tableau, and related analytics tools.
  • Partner closely with Product, Risk, Operations, and Engineering stakeholders to solve complex business problems.
  • Design deep-dive analyses, experiments, and data-driven strategies to improve payment success rates and reduce fraud exposure.
  • Translate complex analytical findings into clear recommendations for business and leadership teams.
  • Independently manage analytics initiatives in a client-facing and cross-functional environment.
What We’re Looking For
  • 3–10 years of experience in Payments Analytics, Fraud Analytics, Risk Analytics, or related domains.
  • Ideal experience range: 4–6 years.
  • Strong background in:
    • Credit/debit card payments
    • Payments fraud
    • Card fraud
    • Account takeover (ATO)
    • Fraud/risk analytics
    • Transaction analytics
  • Hands-on expertise in SQL is required; Python experience is strongly preferred.
  • Experience with Tableau or similar BI/reporting tools.
  • Strong analytical problem-solving and stakeholder communication skills.
  • Ability to work independently, manage ambiguity, and operate with a consulting mindset.
  • Prior experience within banking, fintech, payment processors, card networks, or financial services environments is highly preferred.
Preferred Backgrounds

Candidates from organizations such as banks, fintechs, payment processors, card networks, or fraud/risk consulting environments are strongly encouraged to apply.

Nice to Have
  • Experience with fraud modeling, experimentation, or A/B testing.
  • Exposure to risk decision engines, fraud tools, or chargeback processes.
  • Experience presenting insights to senior business stakeholders.

If you’re passionate about solving complex payments and fraud challenges using data, analytics, and strategic thinking, we’d love to connect.