AI Data Analyst (Remote)

CrowdStrike

14h • Remote

About The Position

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re 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: The CrowdStrike centralized D.R.I.V.E (Data, Reporting, Intelligence, Visualization, Engineering) team is seeking an AI Data Analyst to join our team. In this role, you will leverage AI to programmatically transform our data into actionable insights for stakeholders across the organization. You will build innovative solutions that reduce time-to-insight through conversational AI interfaces, automated analytics workflows, and by embedding AI into where users interact with data. As an AI pioneer and product manager, you'll constantly iterate upon and socialize the products you've built, driving adoption and gathering feedback to continuously improve our data solutions. This position sits at the intersection of data engineering, artificial intelligence, and business analytics, making it an exciting opportunity to drive innovation in how CrowdStrike employees leverage data.

Requirements

• Bachelor's degree in Computer Science, Data Science, Statistics, or related field; or equivalent combination of relevant experience and demonstrated passion for data-driven problem solving.
• 2-4 years of professional experience in data analytics or business intelligence, with demonstrated use of AI tools in your daily work.
• Strong proficiency with Snowflake, including complex SQL queries and experience implementing AI/ML capabilities within the Snowflake ecosystem (particularly Snowflake Cortex).
• Understanding of large language models (LLMs) and experience building conversational AI interfaces for business analytics applications.
• Outstanding communication abilities that transform complex technical concepts into concise, clear explanations for stakeholders of all levels.
• Quick learner with exceptional business acumen and ability to rapidly understand metrics across multiple domains including HR, IT, Product, Finance, Sales, Marketing, and Partner operations.

Nice To Haves

• Previous experience in B2B SaaS environments
• Experience with AI/ML tools and technologies within the Salesforce ecosystem (Tableau Next, Agentforce, Slack)
• Familiarity with Tableau or other data visualization tools

Responsibilities

• Utilize tools within the Snowflake and Salesforce portfolios (Snowflake Cortex, Snowflake Intelligence, Tableau Next, Agentforce, Slack) to build AI-first internal analytics products.
• Refine and enhance the business context mapping within AI analytics solutions to ensure data products remain accurate, relevant, and continuously evolve to meet changing organizational needs
• Build conversational BI interfaces that enable natural language querying of company data.
• Partner cross-functionally to ensure AI analytics solutions are built with robust security and access controls.
• Create automated insight generation systems that proactively identify trends, anomalies, and opportunities in business data.
• Develop augmented analytics capabilities that assist users with data preparation, analysis, and interpretation
• Partner with teams across the organization to gather business requirements, translating stakeholder needs into effective technical analytics solutions.
• Lead the full product lifecycle for analytics solutions, from concept to deployment, by defining requirements, prioritizing features, gathering user feedback, and driving continuous improvement to ensure solutions deliver maximum business value
• Develop comprehensive training materials, enablement resources, and product roadmaps to drive adoption, educate users on AI-powered analytics capabilities, and communicate the strategic vision for data solutions across the organization

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

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 5,001-10,000 employees