Revenue Operations Analytics Lead

Copeland

Analytics Lead building analytics foundations for climate technology sectors. Leading KPI development and implementing AI to improve decision-making across business operations.

Posted 7/7/2026full-timeSidney • Montana, Ohio • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Revenue Operations and Business Analytics, with a strong focus on KPI development, data-driven decision making, and team leadership. Proficient in advanced data manipulation and modern BI tools to drive insights and improve pipeline visibility.

Highest-signal resume keywords

Revenue OperationsBusiness AnalyticsKPI DevelopmentAdvanced ExcelSQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ManipulationPerformance MetricsRevenue MetricsAnalytical SkillsProblem-Solving Skills

Soft Skills

Strong Communication SkillsInfluencing Senior StakeholdersCoaching

Tools & Technologies

Power BITableauSigma

Industry Keywords

Sales OperationsAnalyticsData-Driven Decision MakingPipeline VisibilityCross-Functional Collaboration

Tech Stack

Tools & technologies

SQLTableau

About the role

Key responsibilities & impact

Build and scale the analytics foundation for our Americas and Controls Solutions businesses
Lead KPI development and deliver executive-level insights
Enable data-driven decision making across Sales, Marketing, and Customer Success
Partner with Sales Operations, business leadership, and the Analytics Team
Establish a consistent source of truth and improve pipeline visibility
Define business problems and shape requirements with the Analytics Team
Drive adoption across insights and AI-enabled workflows
Manage and develop a small team of analysts, providing coaching and clear priorities
Partner with cross-functional teams to align on insights and Analytics priorities

Requirements

What you’ll need

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

Benefits

Comp & perks

medical insurance plans
dental and vision coverage
401(k)
flexible time off plans, including paid parental leave, vacation and holiday leave