Lead Revenue Analyst

LogicMonitor•Austin, TX

1d•Hybrid

About The Position

LogicMonitor® is the AI-first hybrid observability platform powering the next generation of digital infrastructure. LogicMonitor delivers complete visibility and actionable intelligence across on-premises, cloud, and edge environments. By anticipating issues before they strike, optimizing resources in real time, and enabling faster, smarter decisions, LogicMonitor helps IT and business leaders protect margins, accelerate innovation, and deliver exceptional digital experiences without compromise. Our customers love LogicMonitor's ability to bring cloud and traditional IT together into one view, as seen in minimal churn rates, expansion business, and exciting new customer references. In fact, LogicMonitor has received the highest Net Promoter Score of any IT Infrastructure Management provider. LogicMonitor also boasts high employee satisfaction. We have been certified as a Great Place To Work®, and named one of BuiltIn's Best Places to Work for the seventh year in a row! A Sr. Revenue Analyst at LogicMonitor’s role is to own and execute key aspects of the revenue recognition function while driving automation, scalability, and data-driven insights across the organization. The goals of the role include ensuring accurate and compliant revenue recognition under U.S. GAAP (ASC 606), enhancing operational efficiency through AI-enabled processes, and supporting strategic decision-making in alignment with Finance and company objectives.

Requirements

Minimum of 6 years of professional experience in revenue accounting, preferably within a SaaS or technology environment. Equivalent experience will also be considered.
Bachelor’s degree required; degree in Accounting, Finance, or related field is preferred
Demonstrated ability to apply ASC 606 guidance to complex revenue arrangements, operate with a high degree of ownership, and influence cross-functional stakeholders through data-driven insights.
Strong experience with ERP systems (e.g., NetSuite) and revenue recognition tools (e.g., RightRev or similar)
Ability to leverage AI tools and automation technologies in accounting workflows
Advanced analytical and problem-solving skills
Strong communication and cross-functional collaboration skills
In-depth knowledge of U.S. GAAP and ASC 606 revenue recognition principles
Understanding of SaaS business models, contract structures, and billing practices
Familiarity with AI applications in finance, including contract analysis, predictive modeling, and process automation

Responsibilities

Lead and execute components of the monthly and quarterly revenue close process, including preparation of journal entries, reconciliations, and variance analysis.
Maintain and enhance revenue recognition schedules, including contract classifications, standalone selling price (SSP) analysis, and allocation methodologies.
Review customer contracts to determine appropriate revenue recognition treatment in compliance with ASC 606.
Partner cross-functionally with Sales, Sales Operations, Legal, and FP&A to provide guidance on deal structuring and revenue implications.
Leverage artificial intelligence tools to automate contract review, performance obligation identification, and revenue memo drafting.
Implement AI-enabled solutions for SSP modeling, transaction price allocation, and anomaly detection in revenue data.
Drive continuous improvement initiatives to reduce manual effort and increase accuracy through intelligent automation.
Perform in-depth revenue analytics to identify trends, risks, and opportunities to improve financial outcomes.
Support audit readiness by preparing documentation, maintaining audit trails, and ensuring compliance with internal controls and regulatory requirements.
Partner with FP&A to support forecasting, deferred revenue analysis, and variance explanations.