Revenue Operations Analytics Lead, Americas

We are a global climate technologies company engineered for sustainability. We create sustainable and efficient residential, commercial and industrial spaces through HVACR technologies. We protect temperature-sensitive goods throughout the cold chain. And we bring comfort to people globally. Best-in-class engineering, design and manufacturing combined with category-leading brands in compression, controls, software and monitoring solutions result in next-generation climate technology that is built for the needs of the world ahead.

Whether you are a professional looking for a career change, an undergraduate student exploring your first opportunity, or recent graduate with an advanced degree, we have opportunities that will allow you to innovate, be challenged and make an impact. Join our team and start your journey today! We are seeking a strategic, highly analytical lead to build and scale commercial intelligence for the Americas.

The Analytics Lead will establish trusted revenue metrics, generate executive-level insights, and help leaders make faster, data-driven commercial decisions. This role will own KPI governance, analytics strategy, performance visibility, and analytical AI use cases. Working closely with Sales Strategy & Operations and enterprise Analytics teams, the Analytics Lead will translate data into clear recommendations, while Sales Strategy & Operations leads the commercial response and execution.

As a Revenue Operations Analytics Lead, Americas, You Will:

• Generate actionable insights:
  Translate business questions into structured analysis, scenarios, and recommendations.
• Diagnose performance:
  Identify drivers of pipeline health, conversion, revenue growth, productivity, and performance gaps.
• Influence decisions:
  Deliver executive-ready insights that guide commercial priorities and actions.
• Measure impact:
  Evaluate implemented recommendations and identify where course correction is needed.

• Ensure consistent metrics:
  Standardize pipeline, conversion, coverage, growth, and productivity KPIs.
• Establish a trusted source of truth:
  Align definitions across systems and maintain the revenue KPI glossary.
• Own the analytics product vision:
  Set priorities and requirements for dashboards, scorecards, and the broader reporting ecosystem.
• Drive scalable delivery and adoption:
  Partner with BI and Data teams to translate requirements, validate outputs, and improve business use.

• Set the use-case roadmap:
  Prioritize analytical AI opportunities in segmentation, opportunity identification, pipeline risk, forecasting, and scenario analysis.
• Define business requirements:
  Translate commercial problems into requirements and validate outputs with Data and Analytics teams.
• Drive adoption:
  Partner with Enablement and CRM teams on workflow integration, training, and change management for AI and automation solutions.

• Lead and develop the team:
  Set priorities, coach analysts, and establish clear performance expectations.
• Focus the work:
  Balance existing reporting products, ad hoc analysis, and strategic initiatives.
• Raise analytical quality:
  Establish standards for data quality, analysis, storytelling, and stakeholder communication.
• Align stakeholders:
  Partner across Sales, Marketing, Product Management, Finance, Enablement, BI, and Data Engineering.

• Trusted, standardized revenue KPIs used consistently in executive operating reviews.
• Proactive insights and recommendations tied to clear commercial decisions and action plans.
• Faster, higher-quality commercial decision-making with measurable business impact.
• Reduced manual reporting through…