FinOps Data Analyst

Apply for the Fin Ops Data Analyst role at Hearst
.

• Monthly collection, preprocessing, and analysis of all cost and usage data for Hearst companies across AWS, Azure, and GCP.
• Lead monthly business reviews with Hearst‑owned companies to ensure teams fully understand their cloud consumption and explore optimization options.
• Maintain strong working relationships with Dev Ops, architecture, product management, development, and support teams to deliver services to customers.
• Develop and maintain dashboards that provide visibility into cloud spend and trends for technical, financial, and executive audiences.
• Configure and enhance Hearst’s cloud cost‑management platform and conduct ad‑hoc cost analyses as needed.
• Align with and support Hearst cloud‑migration efforts through the creation of business cases and cloud‑cost estimates.
• Implement Fin Ops best practices, standards, and automation.
• Analyze large datasets to discover trends and patterns.
• Present information using effective data visualization techniques.
• Collaborate with engineering and product development teams.
• Support a culture of continuous improvement by identifying opportunities for improved automation and communicating findings to relevant teams.

• 2+ years of hands‑on experience in cloud financial management, cloud operations, and data analysis, including cost‑exploration and optimization tools.
• Excellent interpersonal, communication, and presentation skills; ability to explain complex concepts to non‑technical audiences.
• Strong analytical and spreadsheet skills; proficiency in data mining to extract insights and identify correlations.
• In-depth knowledge of public cloud services and costs for at least one of AWS, Azure, or GCP (certifications preferred).
• Self‑starter mindset with the ability to work independently in a fast‑paced environment.
• Experience working on large‑scale, enterprise projects.
• Experience using Generative AI to enhance personal efficiency and productivity.

• Advanced Microsoft Excel skills, including Pivot Tables and complex formulas.
• Knowledge of Fin Ops principles (Fin Ops Foundation certification a plus).
• Experience with BI tools such as Power
  
  BI or Tableau.
• Problem‑solving mindset.
• Strong statistics and algebra skills.
• Ability to build predictive models and machine‑learning algorithms.
• Proficiency in one or more 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 is $85,000 – $115,000. If hired outside New York City, the salary range will align with that specific location.

We are an Equal Opportunity Employer and make employment decisions without regard to race, color, religion, national origin, sex or gender, sexual orientation, gender identity, gender expression, age, disability, military or veteran status, or any other status protected by federal, state, or local law. Hearst provides reasonable accommodations to applicants and employees consistent with applicable law.