Revenue Operations Analytics Lead, Americas

About Us

Copeland is a global climate technologies company engineered for sustainability. We create sustainable and efficient residential, commercial and industrial spaces through HVACR technologies, protecting temperature‑sensitive goods throughout the cold chain and bringing comfort to people worldwide. Best‑in‑class engineering, design and manufacturing combined with category‑leading brands in compression, controls, software and monitoring solutions deliver next‑generation climate technology built for the needs of the future.

Whether you are a professional looking for a career change, an undergraduate exploring your first opportunity, or a recent graduate with an advanced degree, we have opportunities that will let you innovate, be challenged and make an impact. Join our team and start your journey today.

We are seeking a strategic and highly analytical leader to build and scale the analytics foundation for our Americas and Controls Solutions businesses. This role will lead KPI development, deliver executive‑level insights and enable data‑driven decision making across Sales, Marketing, and Customer Success. You will partner closely with Sales Operations, business leadership, and the Analytics Team (BI, Data Science, and Intelligent Automation) to establish a consistent source of truth, improve pipeline visibility, and drive execution.

In addition, this role will serve as the business‑side champion for AI in Revenue Operations, covering both analytical AI (predictive and prescriptive models) and Generative AI (Copilots and agents) that automate or augment revenue workflows. You will define business problems, partner with the Analytics Team to shape requirements, validate solutions, and drive adoption across both insights and AI‑enabled workflows.

• Translate business questions into structured analysis and actionable recommendations
• Identify key drivers of pipeline health, growth, and performance gaps
• Deliver clear, executive‑ready insights to inform strategic decisions

• Lead development and standardization of core revenue metrics (pipeline, conversion, coverage)
• Partner with Rev Ops leadership to maintain a consistent, trusted source of truth
• Drive alignment of data and metric definitions across systems and teams, maintaining a documented business glossary for revenue KPIs

• Analyze pipeline health, stage progression, and conversion trends
• Diagnose root causes of performance issues across segments and regions
• Partner with Sales leadership to improve pipeline quality and execution discipline

• Lead development of scalable, automated dashboards and reporting
• Ensure timely, accurate visibility for leadership and business stakeholders
• Partner with BI and data resources to improve data models and usability

• Lead the adoption of analytical AI (e.g., segmentation, pipeline risk) and Generative AI solutions (Copilots, agents, assistants) across Rev Ops
• Define and prioritize high‑impact use cases where AI improves decision speed, quality, or scale
• Partner with Data and Analytics teams to translate problems into clear requirements, validate model and agent outputs against business reality, and confirm fit for purpose
• Own change management and adoption by embedding AI outputs into workflows, training users, and measuring business impact
• Distinguish where analytical AI vs. Generative AI is the right solution, recognizing differences in design, governance, and adoption

• Manage and develop a small team of analysts, providing coaching and clear priorities
• Ensure team output balances reporting efficiency with high‑impact insights
• Establish best practices for analysis, data quality, and stakeholder communication
• Allocate resources across ad‑hoc analysis, reporting, and strategic initiatives

• Partner with Sales Ops, Analytics, Data Engineering, Marketing, Finance, and Enablement to align on insights, analytics priorities, and shared roadmaps
• Translate analytics into clear, actionable recommendations that drive…