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 Dev Ops, 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 Fin Ops 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

• 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

• Microsoft Excel with advanced skills working with Pivot Tables and complex formulas
• Knowledge of Fin Ops principles (Fin Ops Foundation certification a plus)
• Experience with business intelligence tools such as Power
  
  BI 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, Power Shell, Go

• BS/BA degree in Computer Science, Engineering, Mathematics or relevant industry experience
• Cloud Certifications preferred
• Fin Ops Certification preferred

In accordance with applicable law, Hearst is required to include a reasonable estimate of the compensation for this role if hired in New York City. The reasonable estimate, if hired in New York City, is $85,000 - $115,000. Please note this information is specific to those hired in New York City. If this role is open to candidates outside of New York City, the salary range would be aligned to that specific location.

A final decision on the successful candidate’s starting salary will be based on a number of permissible, non‑discriminatory factors, including but not limited to skills and experience, training, certifications, and education. Hearst provides a competitive benefits package, including medical, dental, vision, disability and life insurance, 401(k), paid holidays and paid time off, employee assistance programs, and more.

In accordance with applicable law, Hearst is required to include a reasonable estimate of the compensation for this role if hired in Washington. The reasonable estimate, if hired in Washington, is $85,000 - $115,000. Please note this information is specific to those hired in Washington. If this role is open to candidates outside of Washington, the salary range would be aligned to that specific location.

A final decision on the successful candidate’s…