Sr. Analytics Engineer-Product Insights (Hybrid)
About The Position
CrowdStrike is hiring a Product Analytics Engineer for its Product Insights team. The team designs, builds, and maintains analytics data systems that power the Falcon Console and support fast, accurate, data-driven decisions. The role builds systems that provide actionable insights into how users interact with CrowdStrike products and services by capturing, transforming, and integrating data from multiple sources into a unified analytics platform. It involves working across product groups and disciplines, including in ambiguous and undefined problem spaces. The position calls for a technically strong, curious, humble, collaborative, and adaptable self-starter who uses data and sound judgment, shares knowledge, helps others, and uses AI tools to work more effectively. The role offers autonomy to shape the analytics stack and contributes to systems that inform product decisions, surface threats faster, and help customers stay ahead of adversaries.
Requirements
- Bachelor's degree in Computer Science, Engineering, Math, Statistics, or a related field, or equivalent work experience.
- Strong programming skills in at least one modern language, such as Python or Go.
- Deep SQL expertise and hands-on experience with modern data platforms, including RDBMS, NoSQL, or graph databases.
- Ability to design systems for moving and changing data at scale using tools such as Kubernetes and Docker.
- Experience with cloud infrastructure such as AWS, GCP, OCI, or Azure.
- Strong data visualization and storytelling skills, including constructing concise, coherent narratives supported by appropriate visualizations using BI tools such as Tableau, Looker, Power BI, or similar platforms.
- Thorough understanding of engineering best practices, including testing paradigms, peer code reviews, and resilient architecture design.
- Excellent communication skills and ability to translate complex technical concepts for cross-functional audiences.
- Experience in a SaaS environment.
- Proven experience using 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 in analytics and data engineering.
- Experience with Snowflake, Amplitude, Tableau, or other modern analytics platforms.
- Thrives in fast, team-based, iterative programming environments.
- Track record of delivering high-quality work on time.
Responsibilities
- Design and build data systems and analytics tools.
- Deliver accurate insights that drive business choices and product decisions.
- Balance several projects and communicate trade-offs to stakeholders.
- Build data pipelines that process large amounts of data.
- Use AI tools daily and share their use with the team.
- Ask questions and shape outcomes rather than only completing assigned tasks.
- Own work and ensure it succeeds.
- Capture, transform, and integrate data from multiple sources into a unified analytics platform.
Benefits
- Market-leading compensation and equity awards.
- Comprehensive physical and mental wellness programs.
- Competitive vacation and holidays.
- Paid parental and adoption leaves.
- Professional development opportunities for all employees.
- Employee Networks, geographic neighborhood groups, and volunteer opportunities.
- Office culture with world-class amenities.
- Health insurance.
- 401(k).
- Paid time off.
- Eligibility for bonuses and equity grants.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
