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DAT Freight & Analytics

On-demand freight marketplace with analytics

Credit & Financial Operations Analyst

Financial AccountingConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • 1–3 years of experience in accounting or financial operations, including hands-on accounting work such as close cycles, reconciliations, journal entries, and accounts receivable/accounts payable; financial analysis alone is insufficient.
  • Bachelor's degree in Accounting or Finance.
  • Working knowledge of Generally Accepted Accounting Principles (GAAP), month-end close processes, and reconciliation methodology.
  • Advanced proficiency in Microsoft Excel, including large complex workbooks, data reconciliation, and formula-driven models.
  • Familiarity with enterprise resource planning systems such as NetSuite, SAP, or similar, and understanding of how accounting data flows through a general ledger.
  • Comfort using artificial intelligence models such as Claude, ChatGPT, or Copilot as a daily tool for drafting, analysis, research, and workflow automation.
  • Willingness to develop Snowflake or strong SQL proficiency.
  • Ability to quickly learn proprietary platforms and reporting tools.
  • Strong attention to detail and accuracy in high-stakes, time-sensitive reporting.
  • Strong organizational skills and ability to manage multiple recurring deadlines.
  • Proactive communication, including surfacing problems early.
  • Intellectual curiosity and desire to understand the reasoning behind financial figures.
  • Comfort operating amid ambiguity and change in a high-growth FinTech division.

Responsibilities

  • Prepare and assemble weekly accounts receivable sales data packages for submission to the purchaser under the receivables purchase facility, currently operating four times per month.
  • Support receivables eligibility determinations by ensuring data inputs are accurate and flagging ineligible or concentration-breaching invoices before submission.
  • Maintain and update accounts receivable sales and receivables purchase agreement workbooks, and promptly flag anomalies or data quality issues to the Principal.
  • Serve as a trained backup for all receivables purchase facility submission processes to ensure business continuity.
  • Assist with monthly lender reporting packages, including data pulls, reconciliations, and covenant calculations.
  • Support quarterly lender reporting preparation under the Principal's direction.
  • Maintain organized filing and version control for lender submissions and supporting documentation.
  • Assist with Outgo month-end close activities, meeting the three-day close cycle and Business Day 2 data deadlines.
  • Prepare reconciliations, supporting schedules, and data extracts as directed.
  • Monitor Outgo dashboards daily and escalate trends, anomalies, or funding concerns to the Principal.
  • Maintain and improve process documentation and runbooks for recurring reporting tasks.
  • Identify opportunities to streamline workflows and reduce manual effort in reporting workbooks.
  • Support execution of Sarbanes-Oxley controls for processes within scope, in alignment with Roper Technologies compliance requirements.

Desired Qualifications

  • CPA track, CPA candidacy, or coursework toward a CPA.
  • Exposure to credit facilities, lender reporting, or FinTech financial operations.
  • Experience in a high-velocity, deadline-driven environment, such as fast close cycles or daily or weekly reporting.
  • Snowflake experience or strong SQL proficiency.

About the Company

DAT Freight & Analytics

On-demand freight marketplace with analytics

DAT Freight & Analytics runs the DAT Network, North America’s largest on-demand freight marketplace, linking shippers who need to move goods with carriers who transport them and brokers who facilitate transactions. Its core offering is a subscription-based platform that includes a robust load board and analytics tools, with DAT iQ providing market intelligence to help plan and optimize freight operations. The company differentiates itself by the size of its network, its long history dating back to 1978, and its focus on data-driven optimization and automation. Its goal is to make freight matching more reliable and efficient by improving visibility, reducing uncertainty, and speeding up the transportation process for brokers, carriers, and shippers.

Company size
501-1,000
Company stage
Acquired
Total funding
Not listed
Headquarters
Beaverton, OR
Founded
1978

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