Senior Remote Revenue Planning Strategist

Learnlight; España; A distancia; EUR 55.000 - 75.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work from home culture

Paid time off

Descripción de la vacante

Learnlight is seeking a Revenue Operations professional to join our team in Spain. You will report to the Director of Revenue Operations and work on full-time, remote role, driving forecasting, budgeting, and planning across markets and segments.

You will build and maintain forecasting models, monitor key metrics like CAC, NRR, GRR and LTV, and translate data into actionable commercial recommendations. Strong Excel, BI tools, and English proficiency are essential.

Formación

• Bachelor's degree in Business, Finance, Economics or related field.
• At least 3 years of experience in Revenue Operations, Sales Ops or Commercial Ops in B2B.

Responsabilidades

• Own the revenue forecasting process and maintain forecast pack and pipeline data.
• Support revenue budgeting and annual planning translating targets into bookings and capacity by market.
• Build revenue planning models for forecasting, quotas, territories, capacity and compensation.
• Define and report key revenue metrics like CAC, NRR, GRR, LTV, win rates and pipeline health.
• Analyze pricing, discounting, deal margins and ICP to inform pricing/go-to-market decisions.
• Maintain pipeline data integrity and BAU revenue reporting with evidence-based recommendations.

Conocimientos

Advanced Excel

BI analysis

Data storytelling

Stakeholder management

English proficiency

Educación

Bachelor's degree in Business/Finance/Economics

Herramientas

Power BI

Tableau

Looker

Microsoft Dynamics 365

Descripción del empleo

Learnlight is seeking a Revenue Operations professional to join our team in Spain. You will report to the Director of Revenue Operations and work on full-time, remote role, driving forecasting, budgeting, and planning across markets and segments.

You will build and maintain forecasting models, monitor key metrics like CAC, NRR, GRR and LTV, and translate data into actionable commercial recommendations. Strong Excel, BI tools, and English proficiency are essential.