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# Revenue Analytics Engineer

- **Company:** Lansweeper
- **Location:** Gent, Belgium
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Software as a Service, Database Queries, Software Debugging, Dimensional Modeling, Power BI, Snowflake, Data Pipelines
- **Published:** June 17, 2026
- **Apply:** https://be.indeed.com/viewjob?jk=8ae1b8872519e610

## About the Role

Do you have experience in Sales?, Do you have a Master's degree?, * 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

Nice to Have

 * 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)

## Description

* 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 Real Challenge

 * 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

What You Will Do

 * 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


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