Director, Data Analytics

Director Of Data Analytics

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. 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. We're 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. 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

We are seeking an experienced and strategic Director of Data Analytics to take the helm of a high-performing team of data analytics professionals. This critical leadership role will be centered on driving deep insights into key company revenue metrics (including ARR, Net ARR, and ACV) and leading major business intelligence initiatives. The Director will function as a vital strategic partner, bridging the data needs of the Sales and Finance organizations to ensure decision-making across the entire company is consistently data-informed and aligned with growth objectives.

What You'll Do

• Team Leadership & Development: Lead, mentor, and inspire a team of data analytic professionals, championing a culture of continuous improvement, data rigor, and analytical excellence.
• Revenue & Metric Ownership: Directly drive the development and delivery of robust analytical solutions and reporting for core company revenue metrics, including Annual Recurring Revenue (ARR), Net ARR, and Annual Contract Value (ACV).
• Strategic Partnership: Serve as the primary analytical liaison and strategic partner to executive and functional leaders within the Sales and Finance teams, ensuring all reporting and analytical frameworks meet strategic business needs.
• Data Modeling & Architecture: Design, implement, and maintain scalable, efficient data models that accurately translate complex business requirements and processes into reliable data structures for reporting and analysis.
• Data Warehousing Oversight: Oversee and guide the strategy, development, and maintenance of enterprise data warehousing initiatives, ensuring they are optimized for performance and future scalability.
• Data Governance & Quality: Establish and enforce stringent standards for data accuracy, consistency, and reliability across all business intelligence platforms and reports, acting as a steward for enterprise data quality.
• Project Leadership: Lead complex, cross-functional strategic projects focused on advancing revenue analytics capabilities and modernizing the overall business intelligence infrastructure.

What You'll Need

• Extensive Experience: A minimum of 15 years of progressive experience in data analytics, business intelligence, or a related field, with at least 4 years spent in a dedicated leadership or director-level role managing a global professional analytics teams in fast growing companies.
• Technology Integration: Demonstrated experience and ability to lead the assessment, integration, and deployment of Generative AI (GenAI) technologies to enhance analytics workflows, improve data preparation, and drive innovative analytical solutions.
• Technical Domain Expertise: Strong, in-depth understanding of Salesforce architecture, data models, and standard/custom objects, with proven ability to extract and utilize Salesforce data for revenue analysis.
• Data Skill Mastery: Expert-level proficiency in writing and optimizing complex SQL queries. Deep, practical experience in data modeling methodologies (e.g., Kimball, Inmon) and implementing production-level data models within a data warehouse environment.
• Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.

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.

If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance.

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Right to Work

CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $170,000 - $260,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.