Revenue Operations Analyst
Listed on 2026-06-19
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Business
Business Systems/ Tech Analyst, Data Analyst -
IT/Tech
Business Systems/ Tech Analyst, Data Analyst
Revenue Operations Analyst About CoolIT Systems Inc.
Founded in Calgary, Alberta in 2001, CoolIT Systems is the leading Direct Liquid Cooling technology provider for data centers, supercomputers, and desktop computers. We design and manufacture solutions used by the largest tech companies globally. Recognized as one of The Americas' Fastest Growing Companies 2023 by the Financial Times and honored with the Deloitte Fast 50 Clean Technology award in 2022, as well as Deloitte Fast 500 distinctions in both 2021 and 2022, CoolIT's rapid growth is capturing global attention.
As demand for generative AI, high performance computing, and cloud solutions rapidly expands, there has never been a more exciting time to join our team.
Role:
Reporting to the Director, Strategic Operations, the Revenue Operations Analyst helps build a disciplined, data‑driven commercial engine. This role supports forecast accuracy, pipeline visibility, commercial reporting, and executive decision‑making across Sales, Customer Operations, Finance, Technical Sales, and other stakeholders. It is well suited to a candidate who enjoys turning data into clear business insight inside a fast‑growing manufacturing environment.
- Own recurring pipeline, forecast, bookings, and commercial performance reporting for leadership reviews.
- Analyze stage conversion, sales‑cycle velocity, opportunity aging, slippage, and current‑quarter revenue risk.
- Build and maintain executive‑ready scorecards, dashboards, and monthly business review materials.
- Partner with Sales leadership to improve forecast discipline, deal inspection rigor, and data quality.
- Support strategic account reviews by highlighting performance trends, execution risks, and commercial exposure.
- Work closely with Finance to reconcile bookings, shipment assumptions, and revenue timing risks.
- Translate large datasets into concise, practical recommendations for action.
- Prepare weekly forecast packs, including commit, best case, upside, and risk commentary.
- Track forecast accuracy over time by region, rep, segment, and product line.
- Identify and quantify current‑quarter risks tied to delayed deals, operational blockers, or customer dependencies.
- Support bookings‑to‑revenue bridge analysis and quarter‑close readiness.
- Monitor pipeline coverage, stage movement, stale opportunities, and push‑out reasons.
- Produce weekly and monthly pipeline health reports for leadership.
- Build reports on funnel conversion, average deal size, cycle time, win rates, and productivity.
- Support MBRs, QBRs, annual planning, and ad hoc commercial analysis.
- Partner with Sales, Customer Operations, Finance, Marketing, and Technical Sales to align reporting logic and assumptions.
- Incorporate customer‑risk, escalation, and post‑sales data into broader account and revenue visibility.
- Help standardize metric definitions and reporting discipline across the organization.
- Surface data quality issues, process gaps, and reporting inefficiencies.
- Recommend opportunities to automate recurring analysis and reduce manual work.
- Support improvements to opportunity stage governance, dashboard usability, and KPI consistency.
- Bachelor's degree in Business, Finance, Operations, Analytics, Economics, or a related field, or equivalent practical experience.
- 3‑5 years of experience in Revenue Operations, Sales Operations, business analytics, or a similar commercial reporting role.
- Strong Excel capability, including advanced formulas, pivot tables, and structured analysis.
- 2‑3 years of experience working with CRM or ERP systems such as Net Suite, Salesforce, Hub Spot, or similar.
- Experience in a manufacturing, industrial technology, data center, hardware, or other complex B2B environment.
- Experience building recurring KPI packs, forecast reporting, or leadership dashboards.
- Exposure to BI/reporting tools such as Power BI, Tableau, Looker, or equivalent.
- Familiarity with bookings, backlog, shipments, or quote‑to‑order metrics is a strong asset.
- Strong…
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