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(Senior) Revenue Analyst (m/f/d)

CompraTica Empleos

EMP:Sales
Hamburg or Berlin
Tiempo Completo
Remoto
0 vistas

Descripción

At Statista, we’re all.

Acerca de

facts and data, for we are the world's leading business data platform

By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people worldwide to make fact-based decisions.

Founded in Hamburg in 2007, we have quickly grown into a global company with offices in major cities such as London, New York, Berlin and Tokyo.

And we still have a lot of plans.

Our constant growth does not only prove our success, but also keeps creating new development and career opportunities for our employees.

We value and celebrate our diverse culture.

You are welcome here for who you are, no matter where you come from, what you look like, or whether you prefer bar graphs to pie charts.

Your story matters – keep writing it as part of our team.

Are you ready to join us?Your roleOwn and manage top-line revenue planning in close collaboration with Controlling, including annual budgeting, quarterly forecasts (RFC), and global revenue targets Translate revenue plans into concrete sales targets and ensure alignment across regions and stakeholders Prepare and consolidate monthly performance analyses, providing clear insights and recommendations for senior leadership (CLT) Create high-quality presentations and decision materials for C-level stakeholders, including performance updates and business reviews Support the preparation and coordination of global Quarterly Business Reviews (QBRs) in collaboration with Sales leadership Monitor revenue performance, identify deviations from plan, and proactively highlight risks and opportunities Collaborate closely with Sales, Revenue Operations, Finance, and other stakeholders to ensure consistency of planning and reporting Support and further develop forecasting logic, planning assumptions, and financial models Contribute to improving data quality and reporting structures in collaboration with Data and BI teams Calculate and validate bonus payouts based on target achievement.

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