Revenue Analytics Engineer
TLDR
High-impact role at the intersection of data, finance, and go-to-market strategy, shaping how a growing SaaS company measures and steers revenue.
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
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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
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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
Requirements
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
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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)
Lansweeper offers a comprehensive Technology Asset Intelligence platform that turns raw asset data into actionable insights across IT, OT, and IoT environments. Designed for organizations of all sizes, it empowers teams in IT, security, operations, and finance with full visibility into their technology estate, enhancing decision-making and operational efficiency. What sets Lansweeper apart is its ability to provide a single source of truth for accurate and timely asset management, helping customers navigate the complexities of hybrid infrastructures.