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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Analytics Engineer-Product Insights - **Company:** CrowdStrike - **Location:** Arlington, VA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Software as a Service, Cloud Computing, Code Review, Computer Programming, Data Infrastructure, Data Integration, Data Systems, Data Visualization, Relational Databases, Graph Database, Python (Programming Language), NoSQL, Power BI, Standard Sql, Tableau (Software), Usage Analysis, Google Cloud, Build Management, Kubernetes, Information Technology, Oracle Cloud Infrastructure, Looker Analytics, Data Pipelines, Docker - **Published:** August 6, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/sr-analytics-engineer-product-insights-22230-arlington-va-usa-58811504 ## About the Role 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 ## Description 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 ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 134 - Where pixels sing?](https://www.wearedevelopers.com/magazine/477-dev-digest-134-where-pixels-sing)