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Remote Fraud Analyst Part Time Jobs (NOW HIRING)

In this role, the Data Analyst (Remote) will be responsible for ensuring the business makes better decisions through collection and usage of data. Responsibilities: The Data Analyst (Remote) will:

Budget Analyst

Stafford, VA ยท On-site +1

$69K - $158K/yr

Remote Work: No Job Number: R0241180 Location: Stafford,VA,US Share job via: Share Budget Analyst ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Analyst

San Diego, CA ยท On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0243644 Location: San Diego,CA,US Share job via: Share Data Analyst ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Remote Fraud Analyst Part Time information

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How much do remote fraud analyst part time jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for remote fraud analyst part time in the United States is $30.68, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $33.89 per hour, depending on experience, location, and employer.

How do Remote Fraud Analyst team members typically collaborate and communicate to investigate suspicious activities while working part time?

Remote Fraud Analysts, even when working part time, often use secure digital platforms like Slack, Microsoft Teams, or proprietary tools to stay connected with their team. Collaboration involves sharing case notes, discussing patterns, and escalating urgent findings to supervisors or relevant departments. Regular virtual meetings and detailed documentation are key to ensuring everyone is aligned and investigations are thorough, despite varying schedules. This structure allows part-time analysts to contribute effectively and stay updated on evolving fraud trends.

What is a Remote Fraud Analyst (Part Time)?

A Remote Fraud Analyst (Part Time) is a professional who works from a remote location, usually from home, to monitor and investigate suspicious financial activities or transactions for a company. Their primary role is to identify and prevent fraudulent activities by analyzing data, reviewing alerts, and following up on potential fraud cases. Working part-time means they typically have flexible hours and may work less than a standard full-time schedule. This position often requires strong analytical skills, attention to detail, and the ability to communicate findings effectively to other team members or departments.

What are the key skills and qualifications needed to thrive as a Remote Fraud Analyst (Part Time), and why are they important?

To thrive as a Remote Fraud Analyst (Part Time), you need strong analytical skills, attention to detail, and experience in fraud detection or risk management, often supported by a degree in finance, business, or a related field. Familiarity with fraud detection software, data analysis tools, and case management systems is typically required, along with knowledge of industry regulations. Excellent communication, critical thinking, and problem-solving abilities help you stand out in this role. These combined competencies are crucial for accurately identifying fraudulent activity, minimizing financial losses, and maintaining the integrity of remote operations.
More about Remote Fraud Analyst Part Time jobs
What cities are hiring for Remote Fraud Analyst Part Time jobs? Cities with the most Remote Fraud Analyst Part Time job openings:
What are the most commonly searched types of Remote Fraud Analyst jobs? The most popular types of Remote Fraud Analyst jobs are:
What states have the most Remote Fraud Analyst Part Time jobs? States with the most job openings for Remote Fraud Analyst Part Time jobs include:
Infographic showing various Remote Fraud Analyst Part Time job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $63,822 per year, or $30.7 per hour.

Part Time Data Analyst (Remote)

LEO&Co

New York, NY โ€ข Remote

Part-time

Posted 4 days ago


Job description

A real estate services firm in New York City has a great Remote opportunity awaiting a new Data Analyst. In this role, the Data Analyst (Remote) will be responsible for ensuring the business makes better decisions through collection and usage of data.

Responsibilities:

The Data Analyst (Remote) will:

  • Perform ad-hoc, strategic analysis of structured and unstructured data across multiple data sources, reflecting global real estate markets and the operations of real estate assets
  • Develop data structures and pipelines to organize, collect, cleanse, and standardize data in order to generate insights and addresses reporting needs
  • Define data requirements and gathers and validates information, using judgment and statistical tests
  • Identify and troubleshoot data integration and integrity issues in cooperation with the appropriate business units
  • Design work flows and procedures
  • Identify opportunities to maximize data usage, applying modeling and optimization methods to develop new strategies and improve business performance
  • Develop ad-hoc analytics and reporting based on analysis of existing data sources, utilizing a variety of tools
  • Perform other duties, as needed

Qualifications:

  • 5+ years of experience in Quantitative Analysis, Data Modeling, Reporting, Relational Database tools, Data Warehousing, Database Architecture, and SQL, SAS, and/or SPSS
  • 3+ years of Technical experience in Software Development, Machine Learning or Statistical Analysis, Data Engineering and Data Visualization related work
  • Associate's and/or Bachelor's Degree
  • Well versed in knowledge of creating algorithms, identifying patterns and insights from structured and unstructured data sets utilizing graphs, trees and/or other data representation techniques
  • Knowledge of Financial terms and principles
  • Solid analytical and problem solving skills
  • Great interpersonal skills
  • Excellent communication skills (written and verbal)
  • Strong attention to detail
  • Highly organized