Finance Data & Analytics Manager

🏢 Crowdstrike · all Crowdstrike jobs
📍 United States
💰 USD 125,000 - 180,000 / annual
📅 Posted 2026-07-03 · via Himalayas
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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 Finance Data & Analytics team is responsible for establishing and maintaining trusted, scalable, and reliable data sources that support reporting, analysis, and decision-making across the global CrowdStrike business. The team serves Finance and Accounting internal end users while also enabling critical non-Finance stakeholders, including Sales, Sales Operations, Investor Relations, and Executive Leadership, with consistent, accessible, and well-governed financial and operational data. Reporting to the Sr. Manager, Finance Data & Analytics, this role will support prioritization and development efforts needed to maintain the F&A function’s data governance framework, standards, and analytics best practices to support data-driven decision making at scale.
What You'll Do:

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Articulate and execute against data & analytics vision in support of Accounting, Finance and other business teams as needed, including development of Accounting Data and Analytics roadmap

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Partners with FP&A, Record-to-Report, Procure-to-Pay, Order-to-Cash, Tax, and Treasury teams to maintain a strong understanding of the key business drivers, specific business processes and analytics priorities

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Lead deep exploration of financial, customer, product, sales, and support data and communicate actionable analysis/insights to stakeholders

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Spearhead the development and deployment of AI solutions in Finance to optimize decision-making and operational efficiency

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Deliver insights and provide actionable recommendations based on reported results, benchmarks, discovered patterns, and other necessary context

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Facilitate and drive the successful completion of data insight initiatives in line with aligned roadmap by effectively managing data analysts and collaborating with stakeholders

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Develop in-depth understanding of key data sources and data lineage within the organization and data warehouse and effectively leverage knowledge to derive meaningful analytics results

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Support enterprise data roadmap by managing the accounting function’s data model, data mart(s), user access, and adoption of advanced analytics capabilities in line with overall company data strategy

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Facilitate best practices discussions with business, as needed to develop functional competencies and foster data-driven culture, and continuously improve the quality, consistency, accessibility, and security of accounting data

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Lead, mentor, and develop a high-performing team of data analysts to achieve functional and professional growth

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Cultivate a dynamic environment of continuous learning, innovation, and cross-functional collaboration.

What You’ll Need:

- Bachelor’s Degree

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10+ years of relevant professional experience

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Solid understanding of Finance and Accounting processes and reporting needs

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Prior experience driving Data Strategy and Governance process adoption

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Prior experience managing a team with a focus on team member development

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Possess a holistic understanding of how business processes create data and how that data is aggregated and stored in a company’s ERP

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Strong ex

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