Revenue Operations Analyst

Accredited Labs is rapidly emerging as the leading national provider of calibration services in the U.S., specializing in test and measurement equipment across industries such as aerospace, automotive, agriculture, food and beverage, life sciences, manufacturing, and packaging.

Having completed over 20 tuck-in acquisitions in the past year—and with many more planned over the next 1–3 years—Accredited Labs is in a period of rapid expansion. Our mission is to build a cohesive national calibration network that leads the industry not only in size, but in technology, integration, and operational excellence.

As we scale, our commercial and operations teams depend on unified systems and analytics to drive consistent revenue growth and customer experience across branches. The Revenue Operations (Rev Ops) function plays a critical role in aligning sales, marketing, and service performance data—ensuring that leadership has clear, actionable insight into growth opportunities and operational efficiency.

Location - Dallas, TX (Hybrid in office schedule)

The Revenue Operations Analyst is a systems and data expert responsible for improving visibility, efficiency, and alignment across Accredited Labs’ commercial operations. This role supports the design, maintenance, and optimization of the company’s CRM, reporting, and financial data ecosystem to ensure reliable insights and scalable processes as the organization continues to grow.

The analyst will partner closely with sales, marketing, finance, and operations leaders to build and maintain reporting infrastructure, streamline quote-to-cash processes, and improve data quality across customer systems. They will help ensure that data flows accurately between CRM, ERP, and operational platforms—creating a single source of truth for revenue metrics, pipeline health, and customer activity.

This position is ideal for someone who enjoys problem‑solving at the intersection of systems, data, and business strategy—and who can turn complex data into actionable insights that improve commercial performance.

• Enhance and standardize Hub Spot CRM by developing and maintaining Standard Operating Procedures (SOPs) for sales activities, ensuring the technology enforces consistent data capture, stage definitions, and quoting practices across all sales reps.
• Continuously improve CRM structure and workflows to align with Accredited Labs’ national sales model and acquisition-driven growth.
• Partner with IT and data teams to ensure CRM data integrates cleanly with financial, operational, and marketing systems, supporting a single source of truth for revenue performance.

• Build and maintain reports and dashboards that visualize pipeline activity for both new and existing customers, with a focus on quoting performance, close rates, and sales velocity.
• Implement and manage Hub Spot add-ons or integrations (e.g., forecasting, territory management, reporting extensions) that enhance analytics and operational visibility.
• Identify patterns and trends in customer acquisition, quoting efficiency, and revenue performance that drive strategy and process improvement.
• Conduct customer and market research to inform cross‑selling and upselling initiatives—including identifying equipment types and service opportunities by industry vertical and calibration cycle timing.

• Act as a bridge between Sales, Marketing, and Operations to ensure processes, data, and insights flow seamlessly across teams.
• Drive sales performance by providing insight‑based coaching and performance feedback to branch and regional teams.
• Train sales and branch teams on CRM best practices, data entry standards, and reporting use, ensuring strong adoption and adherence to Rev Ops processes.

• 3+ years of experience in Sales Operations or Revenue Operations, ideally within a multi‑location, service‑oriented organization or startup.
• Strong understanding of sales process design and enablement, with a proven ability to create, document, and enforce well‑defined, repeatable processes.
• Analytical and detail‑oriented,…