Senior Revenue Planning Specialist
New
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LearnlightEdTech
Spain. United Kingdom. France. Italy. SerbiaFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- Advanced English proficiency
- Experience
- At least 3 years of experience in Revenue Operations, Sales Operations or Commercial Operations within a B2B environment
- Required Skills
- Microsoft Power BITableauLooker
Requirements
- Hold a Bachelor’s degree in Business, Finance, Economics or a related field.
- Have at least 3 years of experience in Revenue Operations, Sales Operations or Commercial Operations within a B2B environment.
- Bring advanced Excel and financial modelling skills.
- Have hands-on experience building and maintaining revenue forecasting, budgeting, quota, territory, capacity or sales compensation models.
- Have practical experience using BI tools such as Power BI, Tableau or Looker.
- Understand CRM pipeline data, including opportunity structures, data hygiene, forecasting and reporting.
- Have working knowledge of recurring-revenue metrics, including CAC, NRR, GRR and LTV.
- Have experience producing forecast and pipeline reports for senior leadership and translating complex data into actionable recommendations.
- Demonstrate business acumen and analytical capabilities, including confidence challenging stakeholders on data quality and commercial decisions.
- Have advanced English proficiency.
Responsibilities
- Own the revenue forecasting process and maintain the forecast pack and underlying pipeline data.
- Support revenue budgeting and annual planning by translating business targets into bookings, pipeline and capacity requirements by market and segment.
- Build and maintain models for forecasting, quotas, territories, sales capacity and sales compensation.
- Define, track and report revenue metrics across sellers, segments and markets.
- Analyze pricing, discounting, deal margins, win/loss performance, ICP and customer segmentation.
- Maintain pipeline data integrity and business-as-usual revenue reporting.
- Challenge forecast assumptions and sales investment decisions with analysis and evidence-based recommendations.
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