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Network Governance Analyst

Job in Seattle, King County, Washington, 98127, USA
Listing for: DAT Freight & Analytics
Full Time position
Listed on 2025-12-18
Job specializations:
  • IT/Tech
    Data Analyst, Data Security
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Network Governance Analyst

Location: Seattle, WA or Beaverton, OR |
Final date to receive applications: 1/30/2026

Discover your future at DAT Freight & Analytics, where innovation meets impact. DAT is a leading technology company in transportation and logistics, enhancing the freight industry through advanced tools and data intelligence. As a Network Governance Analyst in our fraud prevention team, you will be on the front lines of protecting the integrity of DAT's marketplace. This hands‑on investigative role is perfect for someone who loves solving puzzles, digging into the details, and safeguarding customers from fraud.

You will work closely with operational, engineering, and strategy teams to investigate suspicious activity, test fraud prevention tools, and provide critical insights that improve our access protections and detection capabilities.

What You’ll Do
  • Investigate suspected fraud cases by analyzing user behavior, transaction patterns, and account activity to identify fraudulent actors and understand their methods.
  • Partner with operational teams to review and investigate fraud alerts, determining whether activity is legitimate or fraudulent and documenting your findings.
  • Monitor high‑risk accounts and conduct outbound communication with users to verify legitimate activity and minimize false positives while protecting against fraud.
  • Tag and flag suspicious accounts and transactions to support machine learning model development and improve automated detection accuracy.
  • Conduct user acceptance testing (UAT) for proposed changes to fraud detection systems, security requirements, and prevention tools – providing feedback to product and engineering teams.
  • Analyze fraud patterns across DAT's marketplace and Convoy Platform to identify trends, behavioral indicators, and emerging threats.
  • Document investigation findings, fraud tactics, and actor behaviors to build institutional knowledge and inform fraud prevention strategy.
  • Collaborate with strategy teams to translate ground‑level insights into actionable recommendations for product improvements.
  • Support the development and refinement of the proprietary CARVE methodology by providing real‑world case data and testing new detection approaches.
  • Maintain accurate records of all fraud investigations, resolutions, and customer communications in fraud management systems.
The Skills And Experience You’ll Bring
  • 2–4 years of experience in operations, customer support, compliance, risk, or a related analytical role.
  • Strong investigative mindset with exceptional attention to detail – naturally dig deeper to understand the full story.
  • Analytical skills with ability to identify patterns and anomalies in data, user behavior, and transaction activity.
  • Excellent written and verbal communication skills, including ability to conduct professional conversations with customers about sensitive fraud‑related topics.
  • Comfortable working with data and basic analytical tools (Excel/Sheets required; SQL highly desired).
  • Problem‑solving ability and sound judgment to make decisions about risk, balancing fraud prevention with customer experience.
  • Self‑motivated and able to manage multiple investigations simultaneously while maintaining thorough documentation.
  • Team player who collaborates effectively with cross‑functional partners including operations, product, engineering, and data teams.
  • Adaptable and comfortable in fast‑paced, evolving environments where processes are being built and refined.
  • Bachelor's degree in Business, Criminal Justice, Data Analytics, or related field (or equivalent combination of education and experience).
  • Experience with case management or CRM systems such as Salesforce for tracking investigations, documenting findings, and managing customer communications (strongly preferred).
  • Experience in fraud prevention, risk management, trust & safety, or financial crimes investigation (strongly preferred).
  • Basic SQL or data analysis experience for querying databases and analyzing patterns (strongly preferred).
  • Background in transportation, logistics, marketplace platforms, or financial services (strongly preferred).
Why DAT?
  • Medical, Dental, Vision, Life, and AD&D insurance.
  • Parent…
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