Sr. Analytics Engineer-Product Insights

CrowdStrike•New York City, NY

About The Position

We're hiring a Product Analytics Engineer for CrowdStrike's Product Insights team. Our team designs, builds, and maintains the analytics data systems that power the award-winning Falcon Console. This work is foundational; it enables fast, accurate, data-driven decision-making that keeps customers raving about our products. As a Product Analytics Engineer, you'll build data systems that deliver actionable insights on how users interact with our products and services. You'll capture, transform, and integrate data from multiple sources into a unified analytics platform, all while working with a team that's innovating to protect customers from increasingly complex threat actors. This role requires navigating ambiguity and undefined problem spaces, working across multiple product groups and disciplines to drive impact. We build teams of technically strong people who make each other better. That means bringing sharp skills while staying curious and humble, and genuinely caring about the growth and success of those around you. If you love exchanging ideas and are as invested in your teammates' wins as your own, this is the place for you.

Requirements

Bachelor's degree in Computer Science, Engineering, Math, Statistics, or related field (or equal work experience)
Strong programming skills in at least one modern language (Python, Go, or similar)
Deep SQL expertise and hands-on experience with modern data platforms (RDBMS, NoSQL, or Graph databases)
You can design systems for moving and changing data at scale using tools like Kubernetes and Docker
Experience with cloud infrastructure (AWS, GCP, OCI, or Azure)
Strong data visualization and storytelling skills; you can construct concise, coherent narratives supported by appropriate visualizations using BI tools such as Tableau, Looker, Power BI, or similar platforms
A thorough understanding of engineering best practices - from testing paradigms to peer code reviews and resilient architecture design
Excellent communication skills: you can translate complex technical concepts to cross-functional audiences
Experience in a SaaS environment
Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.

Nice To Haves

Experience using predictive analytics, machine learning, and/or AI to solve business problems
Experience designing and executing enterprise-scale semantic layers to standardize business meaning and enable trusted analytics and AI use cases
Thought leadership analytics and data engineering
Experience with Snowflake, Amplitude, Tableau, or other modern analytics platforms
Thrives in fast, team-based, and iterative programming environments
Track record of high-quality work on time

Responsibilities

Design and build our data systems and analytics tools
Deliver accurate insights that drive business choices and product decisions
Balance several projects at once and tell stakeholders about trade-offs
Build data pipelines that process large amounts of data
Use AI tools daily and share how you use them with the team
Ask smart questions and shape outcomes, not just do tasks
Own your work and make sure it succeeds

Benefits

Market leader in compensation and equity awards
Comprehensive physical and mental wellness programs
Competitive vacation and holidays for recharge
Paid parental and adoption leaves
Professional development opportunities for all employees regardless of level or role
Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
Vibrant office culture with world class amenities
Great Place to Work Certified™ across the globe
health insurance
401k
paid time off