Buscar empleo: 256 ofertas de trabajo Jornada parcial de Ingenieria en San Juan De Alicante (julio 2026)

Revenue Analytics Engineer

hace 4 días

Alicante

ph3About Lansweeper /h3 pLansweeper 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. /p h3What Success Looks Like /h3 ul liC-level decisions to optimize growth are based on revenue metrics and insights, as they are highly trusted facts on the evolution of the business. /li liRevenue metrics are structured so they are relevant for board-level insights. /li liKey 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. /li liForecasting for key revenue metrics is in place and used to steer go-to-market actions. /li /ul h3The Real Challenge /h3 ul liThe sales organization is moving quickly and needs revenue facts to understand the success of its campaigns and to plan new sales plays. /li liThe market is changing and so is our product — we need to allocate sales and marketing efforts where it matters most for growth. /li liRevenue metrics are sourced from multiple systems, have historic complexity due to acquisitions and system migrations, and data quality varies over time. /li /ul h3What You Will Do /h3 ul liBuild, maintain, and improve the revenue data models that power executive-level reporting and board-ready metrics. /li liReconcile revenue data across systems of record (CRM, billing, ERP) and ensure a single source of truth for financial KPIs. /li liDesign and deliver dashboards and reports that translate complex revenue data into clear, actionable insights for sales, finance, and leadership. /li liPartner with sales operations and finance to understand changing business processes and reflect them accurately in revenue analytics. /li liDevelop and maintain forecasting models for key revenue metrics to support go-to-market planning. /li liInvestigate and explain trends, anomalies, and shifts in revenue data, linking them back to underlying business drivers. /li liProactively improve data quality and integrity across revenue-related data pipelines. /li /ul h3Required /h3 ul liExperience with financial metrics reporting — you know how revenue, bookings, churn, and related KPIs are defined and measured. /li liUnderstanding of subscription sales processes — you are familiar with concepts like ARR, MRR, expansion, contraction, and renewal cycles. /li liStrong SQL skills — you can write, optimize, and debug complex queries against large datasets. /li liExperience in reconciling systems of record — you have dealt with data mismatches between CRM, billing, and finance systems and know how to resolve them. /li liAnalytical mindset with the ability to translate data into business narratives that support decision‑making. /li /ul h3Nice to Have /h3 ul liExperience with SaaS KPI reporting (e.g., net revenue retention, LTV, CAC payback). /li liHands‑on experience with Snowflake, dbt, and/or Power BI. /li liFamiliarity with data modeling best practices (dimensional modeling, slowly changing dimensions). /li /ul /p #J-18808-Ljbffr

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