Engineer II, Data Analytics (Remote)

CrowdStrike is a global cybersecurity company that protects organizations through an AI-native platform. The Engineer II, Data Analytics role supports data center business analytics by managing financial operations, analyzing performance and costs, developing financial models, and driving process improvements and automation.

Responsibilities:

• Be knowledgeable in data center financial operations including cost drivers, pertinent technology, vendors, customers served, and regional nuances
• Establish annual/monthly performance targets, analyze budget-to-actual variance, and communicate key messages to leadership
• Experience working with data warehousing and data modeling
• Identify and lead cost savings initiatives
• Support the month-end financial close reporting for data center engineering
• Develop and refine complex driver-based financial models leveraging KPIs
• Perform ad-hoc analysis to support strategic initiatives and business decisions
• Pinpoint defects or waste in processes, and drive new processes and automation to eliminate the defects and prevent them from recurring

Requirements:

• The candidate we seek is a forward thinking professional with solid reporting and data management experience
• The ideal candidate should have a strong background on data center financial operations, cost drivers, and capacity planning
• Although this role is primarily focused on ensuring our data center portfolio is managed efficiently, we're also looking for someone who has an intermediate-level understanding of engineering and hardware concepts, such as asset control and management, including RMA, warranty, and sparing reporting
• US Citizen OR Green Card Holder
• 5+ years of finance experience or a related analytical field
• BA/BS in Finance, Accounting, Economics, Engineering, or a highly analytical field (e.g., Math, and Computer Science)
• Minimum 5 years of finance/business analysis experience
• Solid business judgment and acumen
• Strong written and verbal communication skills
• Demonstrated ability to work independently, and partner cross-functionally
• Proven ability to meet tight deadlines and prioritize workload
• Strong excel modeling and powerpoint skills
• Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes