Director, Data Analytics

CrowdStrike CrowdStrike · Enterprise · Sunnyvale, CA

This role leads a data analytics team focused on revenue metrics and business intelligence, partnering with Sales and Finance. It involves data modeling, warehousing, governance, and strategic project leadership, with a requirement to integrate Generative AI into analytics workflows.

What you'd actually do

  1. Lead, mentor, and inspire a team of data analytic professionals, championing a culture of continuous improvement, data rigor, and analytical excellence.
  2. 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).
  3. 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.
  4. Design, implement, and maintain scalable, efficient data models that accurately translate complex business requirements and processes into reliable data structures for reporting and analysis.
  5. Oversee and guide the strategy, development, and maintenance of enterprise data warehousing initiatives, ensuring they are optimized for performance and future scalability.

Skills

Required

  • 15 years of progressive experience in data analytics, business intelligence, or a related field
  • 4 years spent in a dedicated leadership or director-level role managing a global professional analytics teams
  • 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.
  • 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.
  • 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.

What the JD emphasized

  • Generative AI (GenAI) technologies to enhance analytics workflows
  • Salesforce architecture, data models, and standard/custom objects