Revenue Analytics Engineer

Description

Summary: Seeking an analytical professional to build and maintain revenue data models, reconcile financial data, and deliver actionable insights for strategic decision-making. Highlights: 1. Build and maintain executive-level revenue data models and board-ready metrics. 2. Reconcile revenue data across systems to ensure a single source of truth. 3. Translate complex revenue data into clear, actionable insights for leadership. **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** * 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)