Product Analytics Engineer — AI-Driven Insights Architect

CrowdStrike; Arlington (VA); On-site; USD 140,000 - 215,000; Full time

Benefits offered by this job

Market-leading compensation

Equity awards

Paid time off

Professional development

Job summary

CrowdStrike seeks a Product Analytics Engineer to design and maintain analytics data systems powering the Falcon Console. You will enable fast, data-driven decision making and scalable insights across产品 decisions.

You will work with data engineering, product, and security teams to deliver accurate insights, build pipelines, and leverage AI to drive results in a fast-paced SaaS environment.

Qualifications

• Bachelor's degree in CS/Engineering/Math/Stats or equivalent experience.
• Strong programming skills in Python or Go.
• Deep SQL expertise with modern data platforms (RDBMS/NoSQL/Graph).
• Design scalable data systems using Kubernetes and Docker.
• Cloud experience (AWS/GCP/Azure).
• Excellent communication and ability to translate complex concepts to cross‑functional audiences.
• Experience in a SaaS environment and using AI to enhance decision making.

Responsibilities

• Design and build data systems and analytics tools.
• Deliver accurate insights to drive business choices and product decisions.
• Balance several projects and communicate trade-offs to stakeholders.
• Build data pipelines that process large data volumes.
• Use AI tools daily and share how you use them with the team.
• Ask smart questions and shape outcomes, not just perform tasks.
• Own your work and ensure its success.

Skills

Data-driven decisions

Cross-functional collaboration

Communication

Adaptability

AI tools usage

Education

Bachelors in CS/Engineering/Math/Stats

Tools

Kubernetes

Docker

Tableau

Looker

Power BI

Snowflake

RDBMS/NoSQL/Graph databases

Job description

CrowdStrike seeks a Product Analytics Engineer to design and maintain analytics data systems powering the Falcon Console. You will enable fast, data-driven decision making and scalable insights across产品 decisions.

You will work with data engineering, product, and security teams to deliver accurate insights, build pipelines, and leverage AI to drive results in a fast-paced SaaS environment.