Sr. Analytics Engineer-Product Insights

Experteer Overview As a Product Analytics Engineer at CrowdStrike, you will design and maintain analytics data systems powering the Falcon Console. You will translate usage across products into actionable insights, integrating data from multiple sources to inform strategic decisions. You’ll work across product groups to tackle ambiguous problems and build scalable analytics that support proactive cybersecurity for customers worldwide. This role offers autonomy within a collaborative, growth-focused team that values responsible AI use and continuous learning. Compensation / Benefits * Design and build data systems and analytics tooling * Deliver accurate, data-driven insights for product and business decisions * Balance multiple projects and communicate trade-offs to stakeholders * Construct data pipelines to process large-scale data * Leverage AI tools daily and share learnings with the team * Ask smart questions to shape outcomes and ensure project success * Own your work end-to-end and drive it to completion Tasks * Bachelor’s degree in Computer Science, Engineering, Math, Statistics, or related field (or equivalent experience) * Strong programming skills in Python, Go, or similar * Deep SQL expertise with modern data platforms (RDBMS, NoSQL, Graph databases) * Design systems for moving/changing data at scale using Kubernetes and Docker * Experience with cloud infrastructure (AWS, GCP, OCI, or Azure) * Strong data visualization and storytelling with BI tools (Tableau, Looker, Power BI, or similar) * Understanding of engineering best practices (testing, code reviews, resilient architecture) * Excellent communication for cross-functional audiences * Experience in a SaaS environment * Proven experience using AI technologies to enhance decision-making and efficiency Key requirements * market leader compensation and equity * wellness programs * vacation and holidays * parential/adoption leaves * professional development opportunities * diverse employee networks

and drive it to completion Tasks * Bachelor’s degree in Computer Science, Engineering, Math, Statistics, or related field (or equivalent experience) * Strong programming skills in Python, Go, or similar * Deep SQL expertise with modern data platforms (RDBMS, NoSQL, Graph databases) * Design systems for moving/changing data at scale using Kubernetes and Docker * Experience with cloud infrastructure (AWS, GCP, OCI, or Azure) * Strong data visualization and storytelling with BI tools (Tableau, Looker, Power BI, or similar) * Understanding of engineering best practices (testing, code reviews, resilient architecture) * Excellent communication for cross-functional audiences * Experience in a SaaS environment * Proven experience using AI technologies to enhance decision-making and efficiency Key requirements * market leader compensation and equity * wellness programs * vacation and holidays * parential/adoption leaves * professional development opportunities * diverse employee networks