Sr. Analytics Engineer-Product Insights

As a global leader in cybersecurity CrowdStrike protects the people processes and technologies that drive modern organizations. Since 2011 our mission hasnt changed were here to stop breaches and weve redefined modern security with the worlds most advanced AI-native platform. We work on large scale distributed systems processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries and they count on CrowdStrike to keep their businesses running their communities safe and their lives moving forward. Were proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption experimentation and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution build expertise uncover insights and solve complex problems. Were always looking to add talented CrowdStrikers to the team who have limitless passion a relentless focus on innovation and a fanatical commitment to our customers our community and each other. Ready to join a mission that matters The future of cybersecurity starts with you.

About the Role:

Were hiring a Product Analytics Engineer for CrowdStrikes 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 youll build data systems that deliver actionable insights on how users interact with our products and services. Youll capture transform and integrate data from multiple sources into a unified analytics platform all while working with a team thats 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.

We want someone with technical skills and the right mindset:

• A self-starter who wants to grow and learn

• You make choices based on data and good judgment

• You lead by helping others and sharing knowledge

• You work well with others and get people aligned

• You adapt when priorities change

• You do the right thing for colleagues and users

• You use AI tools to work faster

• 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

Required:

• Bachelors 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.

Bonus Points:

• 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

Youll be working on systems that directly impact how CrowdStrike protects millions of users worldwide. The data architecture you build will inform critical product decisions surface threats faster and ultimately help our customers stay ahead of adversaries. Youll have the autonomy to shape our analytics stack and the support of a team that values your growth as much as your output.

#LI-AP1

Benefits of Working at CrowdStrike:

• 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

CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.

CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race color creed ethnicity religion sex (including pregnancy or pregnancy-related medical conditions) sexual orientation gender identity marital or family status veteran status age national origin ancestry physical disability (including HIV and AIDS) mental disability medical condition genetic information membership or activity in a local human rights commission status with regard to public assistance or any other characteristic protected by law. We base all employment decisions--including recruitment selection training compensation benefits discipline promotions transfers lay-offs return from lay-off terminations and social/recreational programs--on valid job requirements.

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