Revenue Operations Analytics Lead, Americas
Job in
Sidney, Shelby County, Ohio, 45365, USA
Listed on 2026-07-09
Listing for:
Copeland
Full Time
position Listed on 2026-07-09
Job specializations:
-
IT/Tech
Data Analyst, Business Systems/ Tech Analyst, Business Intelligence
Job Description & How to Apply Below
Hybrid locations:
Sidney, OH, USA:
St. Louis, MO, USAtime type:
Full time posted on:
今天发布job requisition :
JR116208
** About Us
** 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 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 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.
*
* KEY RESPONSIBILITIES:
**** Analytics Strategy & Business Insights:
*** 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
** KPI Governance & Data Ownership:
*** 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
** Pipeline & Performance Analysis:
*** 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
** Reporting & Dashboard Ecosystem:
*** 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
** AI Strategy for Revenue Analytics:
*** Lead the adoption of both 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 (Copilots/agents) is the right solution, recognizing differences in design, governance, and adoption
** Team Leadership & Development:
*** 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…
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