Revenue Operations: Data-Driven Growth & GTM Strategy Lead

Fever

Madrid

Híbrido

EUR 55.000 - 75.000

Jornada completa

Hace 3 días
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Ventajas ofrecidas por este puesto de trabajo

Stock options
Event discounts
Health & wellness benefits

Descripción de la vacante

Fever in Madrid is seeking a Revenue Operations analytics professional to own distribution performance and guide growth through data-driven insights. You will build dashboards by product, vertical, partner and geography, shaping where we expand next with rigorous analysis.

You will size channels, develop go-to-market plans for new platforms, and run experiments to produce actionable roadmaps. Fluency in English and Spanish is required, with an engineering background and 3–5 years in analytics.

Formación

  • Engineering degree or equivalent.
  • 3–5 years in analytics, growth, or strategy in fast-paced environments.
  • Fluent in English and Spanish; another language is a plus.
  • Strong ability to connect data to revenue impact and defend a strategy.

Responsabilidades

  • Own distribution performance analysis end-to-end, from KPIs to strategy.
  • Build dashboards and single source of truth by product, vertical, partner, geography.
  • Size and prioritize channels, build revenue models, and design go-to-market plans.
  • Scope, run and analyze experiments (pricing, spend, discounts) and translate into playbooks.
  • Partner with external resellers and internal teams across 40+ countries to scale revenue.

Conocimientos

SQL
Analytical thinking
Stakeholder management
A/B testing

Educación

Engineering degree

Herramientas

Dashboards

Descripción del empleo

Fever in Madrid is seeking a Revenue Operations analytics professional to own distribution performance and guide growth through data-driven insights. You will build dashboards by product, vertical, partner and geography, shaping where we expand next with rigorous analysis.

You will size channels, develop go-to-market plans for new platforms, and run experiments to produce actionable roadmaps. Fluency in English and Spanish is required, with an engineering background and 3–5 years in analytics.

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