Revenue Analytics Engineer
15 days ago
Alicante
About Lansweeper La información a continuación detalla los requisitos del puesto, la experiencia esperada del candidato y las cualificaciones correspondientes. 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 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). xcskxlj, • Hands‑on experience with Snowflake, dbt, and/or Power BI., • Familiarity with data modeling best practices (dimensional modeling, slowly changing dimensions). #J-18808-Ljbffr