Revenue Operations Analytics Lead, Americas

Copeland•St. Louis, MO

8d•Hybrid

About The Position

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.

Requirements

6+ years in Revenue Operations, Sales Operations, or Business Analytics
Prior experience managing or mentoring analysts
Strong analytical and problem-solving skills with business context
Experience with pipeline, performance, and revenue metrics
Advanced Excel and experience with modern BI tools (e.g., Sigma, Power BI, Tableau)
SQL or strong data manipulation skills
Strong communication skills with ability to influence senior stakeholders
Travel up to 15%

Nice To Haves

Experience building or scaling analytics capabilities or functions
Salesforce or CRM expertise
Familiarity with data modeling and analytics infrastructure
Exposure to AI, predictive analytics, or advanced analytics techniques
Hands-on exposure to Generative AI tools (e.g., Microsoft Copilot, Copilot Studio agents) and ability to evaluate where analytical AI vs. GenAI/agents is the right solution

Responsibilities

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 RevOps 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 both analytical AI (e.g., segmentation, pipeline risk) and Generative AI solutions (Copilots, agents, assistants) across RevOps
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
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 results