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Fraud Tableau Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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Fraud Tableau information

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$10

$56

$77

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.
Analyst, Fraud Strategy

Analyst, Fraud Strategy

Wonder Group, Inc.

New York, NY • On-site

$96K - $102K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 7 days ago


Wonder rating

6.9

Company rating: 6.9 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

13th of 85 rated restaurants


Job description

About Grubhub

At Grubhub, we champion restaurants from coast to coast. Restaurants sit at the heart of communities. It's our mission to strengthen their roots, deepen their connections, and increase the positive impact they have on people and society.

Grubhub, part of Wonder, delivers the best local, authentic cuisine right to diners' doors-and new customers and billions in revenue to local businesses. Featuring over 375,000 merchants in over 4,000 cities nationwide, our innovative technology, user-friendly platforms, and streamlined delivery capabilities have made us an industry leader in the world of online food ordering.

Since we opened our doors in 2004, Grubhub has been opening doors all across the country. Bakery doors in Hyde Park, jibarito joint doors in Queens, and doors of opportunity all across the country. Join our team and help us open more.

About The Opportunity

As a Fraud Analyst, you will play a critical role in protecting the business from fraud losses while enabling sustainable growth. You will leverage data, analytics, and cross-functional collaboration to design fraud prevention strategies, build solutions, and deliver actionable insights that drive impact.

The Impact You Will Make
  • Assess fraud risks, evaluate controls, and identify gaps to help prioritize fraud mitigation projects.

  • Develop and implement fraud detection rules using segmentation, predictive models, hypothesis testing, and other analytical methods.

  • Investigate and analyze the latest fraud trends, designing proactive strategies to address them.

  • Own and manage key processes to reduce fraud losses, including real-time monitoring, alerting, and performance tracking.

  • Partner with stakeholders across Finance, Technology, Product, Marketing, Logistics, Legal, PR, Security, and other teams to leverage both company and third-party data.

  • Design and execute A/B tests to measure the effectiveness of fraud prevention strategies.

  • Conduct ad-hoc analyses, clearly communicate results, and present actionable insights to both senior management and technical/non-technical stakeholders.

  • Independently manage small to medium-sized projects, while supporting larger initiatives with cross-functional collaboration.

What You Bring to the Table
  • Education & Experience

    • Bachelor's degree in a quantitative discipline (or equivalent work experience).

    • 3-5 years of experience in fraud, risk, payments, analytics, or statistical roles.

    • Prior exposure to statistics and machine learning modeling techniques through coursework or professional experience.

  • Technical Skills

    • Proficiency in SQL and experience with R or Python for data analysis and statistical modeling.

    • 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 infrastructure in high-volume digital environments.

  • Core Competencies

    • Strong quantitative, analytical, and problem-solving skills with sharp attention to detail. High level of inquisitiveness, initiative, and critical thinking.

    • Proven ability to translate analysis into implementable strategies and rules.

    • Strong project management skills, including cost-benefit assessment, prioritization, documentation, and follow-through.

    • Excellent communication skills, able to convey findings clearly to technical and non-technical stakeholders.

(Optional) Got These? Even Better
  • Experience in a digital marketplace or platform environment with high transaction volumes.

  • Familiarity with advanced fraud detection systems, real-time monitoring frameworks, or machine learning approaches.

  • Strong track record of effectively presenting insights to senior management and executive stakeholders.

As a matter of company policy, Wonder does not sponsor applicants for employment visa status for this role.

Our hybrid model requires 3 days a week in the office. That said, many team members choose to come in more often to take advantage of in-person collaboration and connection. You're welcome-and encouraged-to be in the office up to 5 days a week if it works for you.

New York Base Salary: $96,000-$102,000 per year.

Illinois Base Salary: $86,500-$92,000 per year.

Wonder uses geographic-specific salary structures, which means the salary offered may vary depending on where the job is located. The final salary offer will take into account various factors, such as the candidate's skills, education, training, credentials, and experience.

Benefits

We offer a competitive salary package including equity and 401K. Additionally, we provide multiple medical, dental, and vision plans to meet all of our employees' needs as well as many benefits and perks that are not listed.

A Final Note

At Wonder, we build the best teams by hiring with an objective lens - evaluating people for their potential while championing diversity, equity, and inclusion. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, military service eligibility, veteran status, marital status, disability, or any other protected class. As part of our commitment to fair and compliant hiring practices, Wonder participates in the federal government's E-Verify program to confirm employment eligibility. If you need an accommodation during the interview process, please let your recruiter know.

We look forward to hearing from you! We'll contact you via email or text to schedule interviews and share information about your candidacy.


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