#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.

• Work with large sets of data to build data pipelines and product analytics for executive and company wide reporting

• Experience with Python, Go (Golang), AWS, SQL, Splunk, Apache Spark (PySpark), Apache Kafka, Snowflake, Amplitude, Tableau, Docker, Kubernetes

• Think critically about stakeholder requests, ask insightful questions, and strategically impact outcomes

• Work collaboratively with a wide range of stakeholders, including product designers, product managers, and engineers, to deliver analytic solutions.

• Be an energetic ‘self-starter’ with the ability to take ownership and be accountable for deliverables

What You'll Need:

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field or commensurate experience in analytics/statistical analysis/data structures/algorithms/distributed systems

• Recent hands-on experience using advanced analytics, machine learning or artificial intelligence to solve business problems.

• Recent hands-on programming experience with some of the following: JavaScript, Go, R, Python, Spark, Snowflake, and/or other analytics tools and languages.

• Recent hands-on experience with modern data platforms such as SQL, RDBMS, NoSQL, or Graph DBs, and Data Visualization skills using BI tools such as Snowflake, Salesforce, Looker, Tableau, Power BI, Domo, or D3.

• Team player skills – we embrace collaborating as a team as much as possible.

• A thorough understanding of engineering best practices from appropriate testing paradigms to effective peer code reviews and resilient architecture.

• The ability to thrive in a fast paced, test-driven, collaborative and iterative programming environment.

• The skills to meet your commitments on time and produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.

• Strong communication skills in both verbal and written formats
  

Bring your experience in analytics and algorithms, UI & UX sensibilities, and your passion for building intuitive data architectures that solve real-world problems at extreme scale. You will help build a platform that scales to millions of events per second and millions of decisions per day. If you want a job that makes a difference in the world and operates at high scale, you’ve come to the right place.

#LI-AP1

#LI-Remote

Benefits of Working at CrowdStrike:

• Remote-first culture

• Market leader in compensation and equity awards

• Competitive vacation and flexible working arrangements

• Comprehensive and inclusive health benefits

• Physical and mental wellness programs

• Paid parental leave, including adoption

• A variety of professional development and mentorship opportunities

• Offices with stocked kitchens when you need to fuel innovation and collaboration

CrowdStrike is committed to maintaining an environment of Equal Opportunity and Affirmative Action. If you need reasonable accommodation to access the information provided on this website, please contact [email protected]​, for further assistance.

CrowdStrike participates in the E-Verify program.

Notice of E-Verify Participation

Right to Work

CrowdStrike Canada ULC is committed to fair and equitable compensation practices. The base salary range for this position in Canada is $85,000 - $150,000 CAD per year + variable/incentive compensation + equity + benefits. A candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications and location.