Product Analytics Engineer (Remote, CAN)

#WeAreCrowdStrike and our mission is to stop breaches. As a global leader in cybersecurity, our team changed the game. Since our inception, our market leading cloud-native platform has offered unparalleled protection against the most sophisticated cyberattacks. We’re looking for people with limitless passion, a relentless focus on innovation and a fanatical commitment to the customer to join us in shaping the future of cybersecurity. Consistently recognized as a top workplace, CrowdStrike is committed to cultivating an inclusive, remote-first culture that offers people the autonomy and flexibility to balance the needs of work and life while taking their career to the next level. Interested in working for a company that sets the standard and leads with integrity? Join us on a mission that matters - one team, one fight.

About the Role:

We’re looking for a Product Analytics Engineer to join our Product Insights team. Our team is responsible for designing, building, maintaining, and leveraging the analytics data systems in and around the award-winning Crowdstrike Falcon Console. This work is foundational and enables high-speed, high-precision, and data-driven decision making that keeps customers raving about our products. 

As a Product Analytics Engineer at CrowdStrike, you will be involved in building data systems to consolidate and present actionable data on how our users interact with and utilize our products and services. In this role, you will capture, ingest, transform and integrate information from multiple sources into a single, enterprise-wide data analytics architecture and solution. You will be part of a data platform and experience team that is continuously developing and improving product features to protect our customers from increasingly complex threat actors attempting data breaches.

What You'll Do:

• Define, build and enhance our integrated, enterprise-wide data architecture and data analytics solutions.

• Deliver a data analytics architecture that produces transparency and provides actionable, timely and accurate data to drive business, user experience and product strategy initiatives

• Provide data analytics services to internal stakeholders to help solve critical business problems, drive value, and gain strategy and insight from information.

• Use advanced data analysis techniques and architectures that leverage technology to process large volumes of data to perform complex computations in a scalable, reproducible and automated manner.

• Build upon our common data framework so that all data is accessible to analysts and data scientists throughout the company.

• Obsess about learning, and champion the newest technologies & tricks with others, raising the technical IQ of the team. …