Revenue Analytics Engineer

Lansweeper; Gent; Sur place; EUR 65 000 - 95 000; Plein temps

Résumé du poste

Lansweeper is scaling its SaaS business and seeks a Revenue Analytics Engineer to own revenue analytics within a small Data & Analytics team. You will build foundational revenue metrics, establish trusted reporting, and influence executive planning.

You will report to the Data Platform Manager and work closely with sales, finance, and product teams to ensure accurate, timely revenue insights for decision-making.

Qualifications

Responsabilités

• Establish single source of truth for revenue KPIs.
• Build board-ready revenue reporting.
• Deliver forecasting models to drive go-to-market decisions.

Description du poste

Context & Impact

As Lansweeper scales its SaaS business across new products and markets, revenue analytics has become a critical function for steering executive and board-level decisions. This role exists to bring structure, trust, and clarity to how Lansweeper measures and understands its revenue.

You will be the dedicated Revenue Analytics Engineer within a 10-person Data & Analytics team — the first hire focused entirely on revenue — reporting directly to the Data Platform Manager. Your work will directly shape how C-level leaders and the board understand growth, and how sales and finance teams plan and act.

In the near term, your goals are to establish a single source of truth for revenue KPIs, build board-ready reporting, and deliver forecasting models that drive go-to-market decisions.

Challenge

The Main Challenges You'll Face Are

• Speed vs. complexity: The sales organization moves fast and needs reliable revenue facts quickly — but revenue data is sourced from multiple systems (CRM, billing, ERP) with historic complexity from acquisitions and system migrations, and data quality that varies over time.
• Keeping up with a changing business:** As Lansweeper's product and market evolve, sales and marketing allocation must follow. You'll need to continuously adapt revenue models to reflect new business processes and priorities.
• Being the first and only:** You are the sole analytics engineer focused on revenue. You'll need to build foundations from scratch, establish trust in the numbers,