Senior Business Operations Associate

About DAT

DAT Freight & Analytics is an award-winning employer of choice and a next-generation SaaS technology company that has been at the leading edge of freight and logistics innovation for nearly five decades. Founded in 1978, DAT operates the largest freight marketplace in North America — processing 250 million+ load posts annually and maintaining one of the largest repositories of freight market transaction data in the world.

On a defined path to $1 billion in revenue, DAT deploys a suite of software solutions, machine learning models, and intelligent automation tools that help brokers, carriers, and shippers price freight accurately, source capacity, reduce risk, and operate more efficiently. With nearly 700 teammates across offices in Denver, CO;
Portland, OR;
Seattle, WA;
Springfield, MO;
Toronto, ON; and Bangalore, India, DAT combines the credibility of a multi-decade market leader with the drive of a company that is not done disrupting the industry it helped build. For more information, visit

Final date to receive applications: 10/1/2026

We're hiring a Senior Associate to help redefine how Biz Ops gets done s hybrid role sits at the intersection of strategy, business intelligence, and applied AI: you'll deliver the insights leaders rely on for strategic decisions, while designing and deploying AI agents that scale and extend our analytics capabilities. You'll partner with stakeholders across the business to surface high-value problems, develop and report on KPIs that inform target priorities and team performance, and build agentic workflows that turn recurring tasks into self-service tools.

With each analysis, you'll ask the natural follow-up: what can an agent do to complement this next time? This is a high-impact IC role with meaningful visibility at the leadership level. Agents are rapidly transforming internal Biz Ops functions, and you'll shape how we incorporate them into ours.

• Strategic Oversight:
  Support leadership in developing and executing business strategies. Assist with setting organizational goals, tracking progress, and ensuring alignment across departments.
• KPI development & ownership:
  Develop and own the key performance indicators that leadership uses to measure business health, ensuring metrics stay aligned with evolving strategic priorities.
• Strategic & ad-hoc analysis:
  Partner with stakeholders across Operations, Finance, Product, and Marketing to scope analytical questions, deliver deep-dive insights, and translate findings into clear recommendations that drive business decisions.
• BI development & reporting:
  Build and maintain dashboards, reports, and data models that make key business metrics accessible, accurate, and trustworthy across the organization.
• Agent design & deployment:
  Design, prototype, and deploy AI agents that augment workflows, including agents that monitor metrics for anomalies, generate narrative summaries, answer ad-hoc data questions, and automate routine reporting cycles.
• Performance monitoring & iteration:
  Track how deployed agents and dashboards perform in the wild, gather feedback from end users, and continuously refine outputs to improve accuracy, usefulness, and adoption over time.
• Automation opportunity identification:
  Spot repetitive analytical tasks across the organization and evaluate which are best suited for agentic automation versus traditional BI tooling, balancing impact, complexity, and risk.
• Data quality & integrity:
  Partner with Data Engineering to validate source data, surface inconsistencies, and ensure that both human-facing analyses and agent outputs are built on a trustworthy foundation.
• Documentation & enablement:
  Document agent capabilities, limitations, and intended use cases so stakeholders know when to trust outputs and when to elevate or verify.

• 3-5 years in high-growth startups, strategy consulting, business intelligence, data analytics or specialized Biz Ops roles. Series A–C experience is a significant plus.
• Strong SQL and Excel skills. You can independently get to the data you need and build the models behind your own reporting.
• Demonstrated ability to…