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About Lansweeper
Lansweeper is a leading IT asset management company that helps organizations gain complete visibility into their IT landscape. Our technology discovers, inventories, and manages every IT asset across on-premises, cloud, and IoT environments. As we grow through new products and market expansion, revenue analytics is becoming critical to steer the business forward.
What Success Looks Like
Required
Lansweeper is a leading IT asset management company that helps organizations gain complete visibility into their IT landscape. Our technology discovers, inventories, and manages every IT asset across on-premises, cloud, and IoT environments. As we grow through new products and market expansion, revenue analytics is becoming critical to steer the business forward.
What Success Looks Like
- C-level decisions to optimize growth are based on revenue metrics and insights, as they are highly trusted facts on the evolution of the business
- Revenue metrics are structured so they are relevant for board-level insights
- Key trends in revenue metrics are explained by linking back to sales and finance processes, ensuring the right strategic decisions for growing the company are taken
- Forecasting for key revenue metrics is in place and used to steer go-to-market actions
- The sales organization is moving quickly and needs revenue facts to understand the success of its campaigns and to plan new sales plays
- The market is changing and so is our product — we need to allocate sales and marketing efforts where it matters most for growth
- Revenue metrics are sourced from multiple systems, have historic complexity due to acquisitions and system migrations, and data quality varies over time
- Build, maintain, and improve the revenue data models that power executive-level reporting and board-ready metrics
- Reconcile revenue data across systems of record (CRM, billing, ERP) and ensure a single source of truth for financial KPIs
- Design and deliver dashboards and reports that translate complex revenue data into clear, actionable insights for sales, finance, and leadership
- Partner with sales operations and finance to understand changing business processes and reflect them accurately in revenue analytics
- Develop and maintain forecasting models for key revenue metrics to support go-to-market planning
- Investigate and explain trends, anomalies, and shifts in revenue data, linking them back to underlying business drivers
- Proactively improve data quality and integrity across revenue-related data pipelines
Required
- Experience with financial metrics reporting — you know how revenue, bookings, churn, and related KPIs are defined and measured
- Understanding of subscription sales processes — you are familiar with concepts like ARR, MRR, expansion, contraction, and renewal cycles
- Strong SQL skills — you can write, optimize, and debug complex queries against large datasets
- Experience in reconciling systems of record — you have dealt with data mismatches between CRM, billing, and finance systems and know how to resolve them
- Analytical mindset with the ability to translate data into business narratives that support decision-making
- Experience with SaaS KPI reporting (e.g., net revenue retention, LTV, CAC payback)
- Hands-on experience with Snowflake, dbt, and/or Power BI
- Familiarity with data modeling best practices (dimensional modeling, slowly changing dimensions)
Key Skills
Ranked by relevance
crm
power bi
cloud
saas
sql
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- Posted
- Jun 15, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- Ghent Metropolitan Area
- Company
- Lansweeper
Industries
Software Development
Categories
Information Technology
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3 roles aligned with this opportunity
View Job Details
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Analytics Engineer
2026-06-15
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Information Technology
View Job Details
Related
Senior Backend Software Engineer
2026-06-15
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View Job Details
Related
Data Engineer H/F
2026-06-16
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