FinOps Data Analyst

Job Responsibilities
• Monthly collection, preprocessing, and analysis of all cost and usage data for Hearst companies across three major cloud providers: AWS, Azure, and GCP
• Lead monthly business reviews with Hearst-owned companies to ensure teams fully understand their cloud consumption and their options for optimization
• Ensure strong working relationships with other areas of the business contributing to the delivery of service to customers, notably DevOps, architecture, product management, development, and support
• Develop and maintain dashboards to provide visibility into cloud spend and trends for various audiences (technical, financial, and executive) to consume throughout Hearst
• Configuration and enhancement of Hearst's cloud cost management software platform and ad-hoc cost analysis where necessary
• Alignment with and support of Hearst cloud migration efforts through the creation of business cases and cloud cost estimates
• Implement FinOps best practices, standards and automation
• Analyze large amounts of information to discover trends and patterns
• Present information using data visualization techniques
• Collaborate with engineering and product development teams
• Ensure support for a culture of continuous improvement, including identifying areas for potentially improved automation and feeding back to relevant teams
Experience Required
• 2+ years hands-on experience in cloud financial management, cloud operations and data analysis, including tools for cost exploring and optimization
• Excellent interpersonal, communications and presentation skills, with an ability to communicate in non-technical terms to non-technical people
• Strong analytical and spreadsheet skills with the ability to use data mining to extract information from data sets and identify correlations and patterns
• Strong knowledge of public cloud services and cost for at least one of three major cloud providers (AWS, Azure, and GCP), with certification preferred
• Self-starter mindset with the ability to work independently in a fast-paced environment
• Experience working in large organizations on enterprise-scale projects
• Experience using Generative AI to enhance personal efficiency and productivity
Essential and Desirable Skills
• Microsoft Excel with advanced skills working with Pivot Tables and complex formulas
• Knowledge of FinOps principles (FinOps Foundation certification a plus)
• Experience with business intelligence tools such as PowerBI or Tableau
• Problem-solving mindset
• Strong statistics and algebra math skills
• Build predictive models and machine-learning algorithms
• Ability to read or write scripts in one or more modern scripting or programming languages: R, SQL, Python, Scala, Java, C++, Ruby, PowerShell, Go
Educational Requirements
• BS/BA degree in Computer Science, Engineering, Mathematics or relevant industry experience
• Cloud Certifications preferred
• FinOps Certification ...