5 дней назад
Revenue Operations Analytics Lead, Americas (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Revenue Operations Analytics Lead, Americas (AI): Building trusted revenue metrics, executive-level commercial insights, scalable reporting, and analytical AI use cases with an accent on KPI governance, pipeline performance, forecasting, and data storytelling. Focus on standardizing revenue definitions, prioritizing AI opportunities, leading analysts, and translating commercial problems into measurable decisions and technical solutions.
Location: St. Louis, Missouri, USA; hybrid work with at least three days per week in the office
Company
is a global climate technologies company developing HVACR, cold chain, controls, software, and monitoring solutions for sustainable residential, commercial, and industrial environments.
What you will do
- Translate commercial questions into structured analyses, scenarios, recommendations, and executive-level insights.
- Diagnose pipeline health, conversion, revenue growth, productivity, and performance gaps.
- Standardize revenue KPIs, maintain the revenue KPI glossary, and establish a trusted source of truth across systems.
- Set priorities and requirements for dashboards, scorecards, and the broader reporting ecosystem in partnership with BI and Data teams.
- Prioritize analytical AI use cases for segmentation, opportunity identification, pipeline risk, forecasting, and scenario analysis.
- Lead and develop analysts while aligning Sales, Marketing, Product Management, Finance, Enablement, BI, and Data Engineering stakeholders.
Requirements
- 6+ years of experience in Revenue Operations, Sales Operations, Commercial Analytics, or Business Analytics.
- Experience with pipeline, performance, growth, and revenue metrics.
- Experience managing or mentoring analysts.
- Advanced Excel and experience with BI tools such as Sigma, Power BI, or Tableau.
- Strong analytical problem-solving, data storytelling, and executive communication skills.
- Legal authorization to work in the United States is required; visa sponsorship is not provided.
Nice to have
- Experience with Salesforce or another enterprise CRM platform.
- Experience building or scaling an analytics or commercial intelligence capability.
- Exposure to predictive analytics, Generative AI tools, and automation.
- Familiarity with SQL, data manipulation, data modeling, and analytics infrastructure.
- Experience partnering with strategy and operations leaders to convert insights into action.
Culture & Benefits
- Collaboration-first hybrid work arrangement with flexibility to adjust office days based on business needs.
- Medical, dental, and vision insurance plans, plus 401(k).
- Flexible time off, paid parental leave, vacation, and holiday leave.
- Professional development from onboarding through senior leadership.
- Inclusive workplace focused on sustainability, openness, and collaboration.
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