CrowdStrike

Director, Marketing Analytics

CrowdStrike

full-time

Posted on:

Location Type: Remote

Location: United States

Visit company website

Explore more

AI Apply
Apply

Salary

💰 $170,000 - $260,000 per year

Job Level

Tech Stack

About the role

  • Help define the global marketing measurement framework from top of funnel to customer acquisition and expansion, including core KPIs, definitions, and governance.
  • Develop and drive a multi-year analytics roadmap that supports CrowdStrike’s growth strategy, including AI-driven insights and experimentation approaches.
  • Build, lead, and mentor a marketing analytics team; set goals, establish processes, and foster a culture of curiosity, accountability, and continuous improvement.
  • Work collaboratively across GTM analytics teams to ensure a common set of data, definitions and measurements across the funnel.
  • Serve as a key advisor to the CMO and marketing leadership, translating complex data into clear recommendations and trade-offs.
  • Design and operationalize dashboards and reporting that provide real-time visibility into marketing performance across channels, segments, regions, and products.
  • Lead analysis of full-funnel performance (awareness, engagement, MQL, SQL, pipeline, bookings, module adoption, ARR) to identify growth opportunities and performance gaps.
  • Develop and maintain a GTM and marketing attribution model to measure program ROI and inform budget allocation and channel mix decisions.
  • Collaborate with Sales, RevOps, Alliances and Finance on pipeline diagnostics, forecasting, and scenario modeling for marketing-sourced and influenced pipeline and ARR.
  • Build models that link marketing inputs (spend, campaigns, programs) to outputs (pipeline, ARR, retention/expansion) at segment and product levels.
  • Provide executive-ready insights for QBRs, board materials, and planning cycles, highlighting what’s working, what’s not, and where to invest next.
  • Turn data into compelling narratives that influence senior stakeholders and drive action.
  • Educate and enable the broader marketing organization on metrics, dashboards, and how to use data in planning and execution.
  • Advocate for a data-informed culture while balancing quantitative insight with market context and customer understanding.

Requirements

  • 15+ years in marketing analytics, business intelligence, data science, or related roles, with a strong focus on B2B and/or B2B SaaS businesses.
  • Experience leading analytics teams, including hiring, coaching, and career development.
  • Proven track record partnering across Marketing and Sales leaders to drive measurable improvements in pipeline, conversion, and ROI.
  • Experience with a modern marketing and analytics tech stack, including Salesforce, Tableau, Marketo, Google Analytics, Adobe Analytics, Snowflake as well as the next-generation of AI-powered technologies.
  • Strong statistical and analytical skills, including comfort with experimentation design, regression, pipeline modeling and forecasting techniques (hands-on or via close partnership with data science).
  • Excellent communication and presentation skills; demonstrated ability to create C-level narratives and influence decisions.
  • Bachelor’s degree in a quantitative or related field (e.g., Statistics, Mathematics, Economics, Engineering, Computer Science, Business Analytics); Advanced degree is a plus.
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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
marketing analyticsbusiness intelligencedata sciencestatistical analysisregressionpipeline modelingforecasting techniquesexperimentation designmarketing attribution modelKPI development
Soft skills
leadershipmentoringcommunicationpresentationcollaborationcuriosityaccountabilitycontinuous improvementinfluencingnarrative development
Certifications
Bachelor's degreeAdvanced degree