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Remote Ecommerce Fraud Analyst Jobs (NOW HIRING)

Senior Fraud Data Analyst

Tampa, FL · Remote

$75K - $117K/yr

Remote (candidate must reside in FL) Position Type: Full Time The Senior Fraud Analyst actively ... Familiarity with fraud detection platforms and vendor collaboration (e.g., Alloy, Verafin, Visa ...

Cyber Fraud Investigations Analyst Job Details * Cyber Fraud Investigations Analyst (Contract ... Conduct thorough investigations of e-commerce transactions to identify anomalies and enhance fraud ...

Director, eCommerce

$180K - $200K/yr

Analyzing eCommerce KPIs and sales performance data to identify areas for improvement and implement strategies for growth. * Preparing regular reports for Culligan and Hydroviv senior leadership ...

We're Hiring: Ecommerce Manager Based in Miami Full-Time Hybrid About Us Industry FinTech (IFT) is ... Analyze performance data and turn insights into clear actions * Collaborate with creative, content ...

Reporting & Analytics * Build and maintain dashboards tracking ecommerce KPIs across channels ... Remote-friendly with flexibility; we're headquartered in Louisville, KY * A small, collaborative ...

Director, eCommerce

$180K - $200K/yr

Analyzing eCommerce KPIs and sales performance data to identify areas for improvement and implement strategies for growth. * Preparing regular reports for Culligan and Hydroviv senior leadership ...

Candidates should be expert-level Shopify operators with a strong background in analytics, UX/UI, ... Remote * Growth...growth and some more growth! Powered by JazzHR ZAbnEY5mDh

Working in a lean, high-ownership environment, you will continuously test, analyze, and optimize ... Remote-first working environment * Opportunity to manage and scale multiple high-growth DTC brands

The eCommerce & Customer Marketing Analyst is an integral role on the e-commerce and customer ... Remote-based role performed from a home office * Salaried, exempt schedule to meet customer and ...

Analyze consumer behavior and performance data to identify trends, risks, and growth opportunities ... For remote candidates, occasional travel is required for team meetings or company events. This role ...

Analyze consumer behavior and performance data to identify trends, risks, and growth opportunities ... For remote candidates, occasional travel is required for team meetings or company events. This role ...

Strong expertise in performance analytics, conversion rate optimization (CRO), customer ... Flexible remote working arrangement with occasional travel requirements. * Opportunity to lead and ...

ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ... Remote Work and Education Stipend * Truvani Monthly Store Credit * Position is available ...

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Remote Ecommerce Fraud Analyst information

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How much do remote ecommerce fraud analyst jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for remote ecommerce fraud analyst 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 does a Remote Ecommerce Fraud Analyst typically collaborate with other teams to prevent and investigate fraudulent activities?

As a Remote Ecommerce Fraud Analyst, collaboration is key to effectively identifying and mitigating fraud risks. You’ll regularly communicate with customer service, IT, payment operations, and legal teams to share insights, investigate suspicious transactions, and implement preventative measures. While most work is conducted independently—monitoring transactions and analyzing data—you’ll often participate in virtual meetings and cross-functional projects to enhance fraud detection strategies. This collaborative approach ensures that fraud prevention is integrated across all business processes, helping to protect both the company and its customers.

What does a Remote Ecommerce Fraud Analyst do?

A Remote Ecommerce Fraud Analyst is responsible for monitoring and analyzing online transactions to detect and prevent fraudulent activity. They use specialized tools and data analysis techniques to identify suspicious patterns, investigate chargebacks, and recommend actions to reduce fraud risks. Working remotely, they collaborate with customer service, payment, and IT teams to ensure the integrity of ecommerce operations and enhance security measures. Their efforts help protect both the company and its customers from financial losses due to fraud.

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

To thrive as a Remote Ecommerce Fraud Analyst, you need strong analytical skills, a background in finance or data analysis, and familiarity with fraud detection practices. Experience with fraud management systems, data analytics tools, and relevant certifications like CFE (Certified Fraud Examiner) are highly valued. Attention to detail, problem-solving ability, and effective communication are essential soft skills in this role. These skills ensure accurate identification and prevention of fraudulent transactions, protecting company assets and maintaining customer trust.
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Senior Fraud Data Analyst

Senior Fraud Data Analyst

Suncoast Credit Union

Tampa, FL • Remote

$75K - $117K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


Suncoast Credit Union rating

7.5

Company rating: 7.5 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


Job description

Overview

Compensation: $75,000 - $117,000

Location Type: Remote (candidate must reside in FL)

Position Type: Full Time 

The Senior Fraud Analyst actively participates in the fraud prevention and risk management activities to mitigate the credit union's and members' exposure to potentially fraudulent activities. The position is responsible for evaluating member and situational/threat trends by channel, as well as cross-channel. Key responsibilities include performing ongoing analytics and preparing recommendations to present to first-line VPs and SVPs enterprise-wide. The senior analyst leverages state-of-the-art industry data science tools to synthesize and analyze data, create recommendations, and respond to fraud attacks. Additionally, the Senior Fraud Analysts will help develop new fraud risk reporting utilizing business intelligence. 


Responsibilities
  • Demonstrate end-to-end ownership of fraud analytics, including data modeling, visualization, and reporting, translating insights into actionable strategies and rule development

  • Conduct comprehensive analyses to identify fraud trends and emerging threat vectors, assess overall scope and impact, and define appropriate mitigation strategies

  • Develop and produce executive key performance metrics and report to senior management and the enterprise risk

  • Develop analytics and recommendations regarding the enterprise fraud strategy to minimize the credit unions’ fraud losses

  • Assess trends impacting fraud and provide real-time recommendations to mitigate potential fraud against the credit union and members

  • Perform complex analysis and/or modeling to identify patterns of fraudulent transactions and to prevent fraudulent transactions

  • Create, test, and implement rule criteria in applicable detection systems (FIS, Falcon, Verafin, Alloy etc.)

  • Balance fraud prevention recommendations with member experience considerations

  • Analyze loss data and recommend/implement appropriate loss prevention strategies

  • Evaluate fraud cases and losses holistically to identify potential trends and areas of improvement

  • Create and deliver BI reporting to develop top-notch reporting for senior leadership, boards, and examiners

  • Maintain knowledge and understanding of current trends, laws, and issues affecting the area of expertise

  • Attend educational events to increase professional knowledge

  • Complete annual compliance and info security training to understand employees' role in maintaining effective compliance and security programs


Qualifications
  • Bachelor’s degree in finance, computer science, data analytics, risk management, or a related field (A comparable combination of work experience and training may be substituted for education requirements.)

  • Minimum of 6 years of experience in data analysis, fraud strategy, and rule writing, preferably with a financial institution

  • Minimum of 4 years of experience with Business Intelligence tools such as Power BI, Tableau, and Qlik, including Structured Query Language (SQL) and SSRS report writing

  • Familiarity with fraud detection platforms and vendor collaboration (e.g., Alloy, Verafin, Visa) for workflow development, policy, and rule calibration and monitoring

  • Advanced Power BI expertise, including data modeling, use of DAX for complex calculations and measures, and optimization of report performance for large datasets

  • Experience developing enterprise-grade dashboards with automated refresh pipelines; ability to translate analytical outputs into executive-level insights and storytelling

  • Advanced SQL proficiency, including complex query design across large datasets using CTEs, subqueries, temporary tables/views, and advanced joins; strong use of window functions (e.g., RANK, ROW_NUMBER, LEAD/LAG), and aggregations, with ability to optimize queries for performance and scalability

  • Experience designing and maintaining scalable data pipelines and views in SQL to support reporting, including data validation, reconciliation logic, and governance of source-to-report transformations

  • Demonstrated ability to integrate SQL-based data sources with Power BI, including DirectQuery/Import models, incremental refresh strategies, and governance of semantic layers to ensure consistency across reporting assets

  • Excellent analytical and quantitative skills, including root cause and trend analysis

  • Ability to effectively communicate complex results to a business audience not familiar with complex data and analytics

  • Ability to maintain a high level of confidentiality

Benefits

  • Financial Well-Being: Bonus Program up to 12%, 401K Matching up to 8%, Retirement Planning, Pay Increases based on Competency, Employee Loan Discounts, Flex Spending Accounts
  • Wellness: Medical Coverage, Dental and Vision Coverage, Access to 4,000+ Gyms, Mental Health Resources, PTO Wellness Days, Short Term and Long Term Disability Coverage
  • Work-Life Balance: 11 Paid Holidays, 3 weeks of Paid Time Off, 4 weeks of Paid Parental Leave, Birthday PTO
  • Community Involvement: Paid Volunteer Hours
  • Growth: Degree Assistance up to $5,000 per year

For more information, including additional benefits, please visit our benefits website at https://careers.suncoastcreditunion.com/benefits

Company Overview

Suncoast Credit Union is consistently chosen as a Tampa Bay Times Top Workplace because its employees genuinely #LOVEWORK! Employees flourish in an inclusive culture celebrating growth and prioritizing the community. 
For more information, please visit our careers site at https://careers.suncoastcreditunion.com/

Qualifications:
  • Bachelor’s degree in finance, computer science, data analytics, risk management, or a related field (A comparable combination of work experience and training may be substituted for education requirements.)

  • Minimum of 6 years of experience in data analysis, fraud strategy, and rule writing, preferably with a financial institution

  • Minimum of 4 years of experience with Business Intelligence tools such as Power BI, Tableau, and Qlik, including Structured Query Language (SQL) and SSRS report writing

  • Familiarity with fraud detection platforms and vendor collaboration (e.g., Alloy, Verafin, Visa) for workflow development, policy, and rule calibration and monitoring

  • Advanced Power BI expertise, including data modeling, use of DAX for complex calculations and measures, and optimization of report performance for large datasets

  • Experience developing enterprise-grade dashboards with automated refresh pipelines; ability to translate analytical outputs into executive-level insights and storytelling

  • Advanced SQL proficiency, including complex query design across large datasets using CTEs, subqueries, temporary tables/views, and advanced joins; strong use of window functions (e.g., RANK, ROW_NUMBER, LEAD/LAG), and aggregations, with ability to optimize queries for performance and scalability

  • Experience designing and maintaining scalable data pipelines and views in SQL to support reporting, including data validation, reconciliation logic, and governance of source-to-report transformations

  • Demonstrated ability to integrate SQL-based data sources with Power BI, including DirectQuery/Import models, incremental refresh strategies, and governance of semantic layers to ensure consistency across reporting assets

  • Excellent analytical and quantitative skills, including root cause and trend analysis

  • Ability to effectively communicate complex results to a business audience not familiar with complex data and analytics

  • Ability to maintain a high level of confidentiality

Benefits

  • Financial Well-Being: Bonus Program up to 12%, 401K Matching up to 8%, Retirement Planning, Pay Increases based on Competency, Employee Loan Discounts, Flex Spending Accounts
  • Wellness: Medical Coverage, Dental and Vision Coverage, Access to 4,000+ Gyms, Mental Health Resources, PTO Wellness Days, Short Term and Long Term Disability Coverage
  • Work-Life Balance: 11 Paid Holidays, 3 weeks of Paid Time Off, 4 weeks of Paid Parental Leave, Birthday PTO
  • Community Involvement: Paid Volunteer Hours
  • Growth: Degree Assistance up to $5,000 per year

For more information, including additional benefits, please visit our benefits website at https://careers.suncoastcreditunion.com/benefits

Company Overview

Suncoast Credit Union is consistently chosen as a Tampa Bay Times Top Workplace because its employees genuinely #LOVEWORK! Employees flourish in an inclusive culture celebrating growth and prioritizing the community. 
For more information, please visit our careers site at https://careers.suncoastcreditunion.com/

Education:UNAVAILABLEEmployment Type: FULL_TIME