Data & Analytics Manager (Remote)

#WeAreCrowdStrike and our mission is to stop breaches. As a global leader in cybersecurity, our team changed the game. Since our inception, our market leading cloud-native platform has offered unparalleled protection against the most sophisticated cyberattacks. We’re looking for people with limitless passion, a relentless focus on innovation and a fanatical commitment to the customer to join us in shaping the future of cybersecurity. Consistently recognized as a top workplace, CrowdStrike is committed to cultivating an inclusive, remote-first culture that offers people the autonomy and flexibility to balance the needs of work and life while taking their career to the next level. Interested in working for a company that sets the standard and leads with integrity? Join us on a mission that matters - one team, one fight.

About the Role:

As the Data & Analytics Manager for CrowdStrike’s Finance Data Analytics organization, you will play a pivotal role in driving data-driven decision-making and shaping the company's future. You will oversee a team of data professionals providing actionable insights, financial reporting, and analytics. This role focuses on delivering key financial metrics for executive stakeholders, overseeing the development and implementation of innovative data solutions, and streamlining company-wide financial analytics. You will work directly with key leaders such as the VP of Global Sales Operations, VP Revenue Controller, and VP of Corporate Finance to ensure that data integrity and analytical capabilities drive critical decision making. 

What You'll Do:

• Lead and manage a 24/7 global team, ensuring continuous support and coverage across multiple time zones. Oversee team members from diverse regions, fostering collaboration, and accountability, and maintaining high performance around the clock.

• Serve as the primary liaison between Sales and Finance, addressing inquiries related to deal accuracy, revenue recognition, and financial forecasting. Ensure seamless communication and collaboration between teams to resolve issues efficiently and maintain data integrity.

• Mentor and develop a team of analysts, ensuring that they are equipped to handle complex data sets, improve their soft skills, and create advanced visualizations for executive consumption.

• Conduct regular performance reviews, set goals, and manage the development of your team members, ensuring they contribute effectively to the company’s dynamic and ever-changing needs.

• Lead major corporate initiatives, such as the construction of datasets for renewal forecasting, which are adopted company-wide to predict customer spending, contraction, and retention.

• Collaborate with ETL/ELT Engineers to optimize and automate data pipelines, ensuring seamless delivery of financial data from original raw …