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# Revenue Analytics Engineer

- **Company:** Lansweeper NV
- **Location:** Alicante (Alacant), Spain
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Software as a Service, Database Queries, Software Debugging, Dimensional Modeling, Power BI, Snowflake
- **Published:** July 31, 2026
- **Apply:** https://www.buscojobs.com.es/revenue-analytics-engineer-en-alicante-ID-365045479

## About the Role

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.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).
#J-*****-Ljbffr

## Description

About LansweeperLansweeper 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 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.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.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).#J-*****-Ljbffr


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