About the role
About Kaseya Kaseya is the leading provider of AI-powered IT management and cybersecurity software, serving Managed Service Providers (MSPs) and internal IT organizations worldwide. Our comprehensive platform helps organizations efficiently manage, secure, and automate their IT environments, driving operational efficiency and long-term business success. Backed by Insight Partners , a leading global software investor, Kaseya has experienced sustained double-digit growth and continues to expand its global footprint. Today, Kaseya supports customers in more than 20 countries and manages over 15 million endpoints worldwide. Founded in 2000, Kaseya has built a culture centered around innovation, accountability, and results. We are a high-growth, high-performance organization that values individuals who are driven, adaptable, and committed to delivering exceptional outcomes for our customers and teammates alike. At Kaseya, success comes from embracing challenges, moving with urgency, and continuously raising the bar. Principal Data Analyst About this Role: As a Principal Analyst, you will deeply understand the Kaseya transaction model and drive forensic analytics to understand drivers that affect our ARR, architect and develop reporting on why and how our ARR changes over time, and become the subject matter expert on operational dynamics that affect our ARR such as renewals, anomalies, and pipeline. This is a high impact role that will help shape the future of analytics at Kaseya. What you will do: Develop and continuously enhance frameworks for investigation into ARR for daily reporting and analysis Build reporting against such frameworks Develop logic that helps us understand how renewals processing velocity affects our ARR movements Anomaly detection on opportunities that affect our ARR positively and negatively Design and execute on new frameworks for incremental ARR measurement. Develop
requirements and partner with Data Engineering to materialize them through the medallion architecture Produce ongoing commentary on performance against our operating plans Support monthly board reporting Independently develop ETLs, build dashboards, new metrics, and analytical frameworks Partner on new Data Science models and AI products Minimum