Staff FinOps Analyst

Overview

Medallia is the pioneer and market leader in Experience Management. Our award-winning SaaS platform, Medallia Experience Cloud, leads the market in the management of experiences, insights, and actions for candidates, customers, employees, patients, and residents alike.

We believe that every experience is a memory that can last a lifetime. Experiences shape the way people feel about a company. And they greatly influence how likely people are to advocate, contribute, and stay. At Medallia, we are committed to creating a world where organizations are loved by their customers and their employees.

We empower exceptional people to create extraordinary experiences together.

Bring your whole self.

The Role and Team

Medallia’s SRE and Production Services Team is seeking a Staff FinOps Analyst to lead cloud cost management and optimization across a hybrid environment spanning public and private clouds. The ideal candidate will bring deep, hands-on experience with AWS and OCI cost management and the ability to quickly develop proficiency in Azure and GCP where needed.

This role will improve cost visibility, identify and drive savings opportunities, strengthen budgeting and alerting, and promote financial accountability across technical and business teams. Success requires strong knowledge of cloud pricing and billing models, cloud-native cost-management capabilities, and practical use of command-line interfaces, APIs, and basic shell scripting to collect data and automate recurring FinOps activities.

Responsibilities

• Monitor and analyze cloud spend, usage, commitments, and cost trends; identify, quantify, prioritize, and track savings opportunities including rightsizing, idle-resource remediation, storage optimization, and cleanup of unnecessary cloud resources.

• Evaluate and manage commitment and discount programs, including Savings Plans, Reserved Instances, OCI commitments, and comparable offerings, balancing coverage, utilization, flexibility, and savings.

• Develop and maintain budgets, forecasts, cost thresholds, anomaly detection, dashboards, alerts, and recurring reporting to provide visibility into spend, utilization, optimization opportunities, and realized savings.

• Use cloud-provider interfaces, APIs, and CLI tools to extract billing, inventory, usage, utilization, and configuration data, and use basic Bash or shell scripting to automate recurring FinOps data collection and reporting activities.

• Maintain and drive a prioritized optimization backlog, working with SRE, infrastructure, engineering, finance, procurement, application teams, and resource owners to validate recommendations, coordinate implementation, and confirm measurable savings.

• Support cloud cost governance and accountability, including tagging, ownership mapping, account and tenancy structures, showback/chargeback inputs, and analysis of the cost implications of capacity, storage, data transfer, licensing, service selection, and workload placement. Track relevant pricing and billing changes and provide actionable guidance to stakeholders.

Candidates based in the Buenos Aires vicinity will be prioritized as this role is Hybrid, 3 days per week onsite.

Qualifications

Minimum Qualifications

• 5+ years of experience in FinOps, cloud cost management, cloud economics, technology financial management, cloud operations analytics, or a closely related discipline, with demonstrated hands-on experience managing and optimizing costs in both AWS and OCI.

• Strong knowledge of cloud billing, pricing, metering, commitment and discount models, cost allocation, budgeting, forecasting, alerting, and usage-based optimization.

• Proven experience delivering measurable savings through rightsizing, commitment planning, idle-resource remediation, storage optimization, and related cloud cost-management activities.

• Hands-on experience with AWS and OCI cost-management, reporting, budgeting, and alerting capabilities, including working proficiency with cloud-provider UI and CLI tools.

• Ability to use APIs and write basic Bash or shell scripts to collect data, process outputs, and automate routine FinOps reporting or analysis.

• Strong analytical skills, including experience working with large billing and usage datasets using spreadsheets, SQL, business-intelligence tools, or comparable analysis platforms, and the ability to translate findings into clear recommendations and measurable business outcomes.

• Strong written and verbal communication skills and the ability to work effectively across engineering, operations, finance, procurement, and business teams.

Preferred Qualifications

• Experience with Azure and/or GCP cost-management capabilities and demonstrated ability to quickly learn additional cloud platforms and provider-specific tools.

• Experience with third-party FinOps, cloud-cost-management, observability, reporting, or business-intelligence platforms.

• Familiarity with private-cloud and Kubernetes cost allocation, shared infrastructure cost modeling, data-transfer analysis, and unit-economics metrics.

• Experience supporting showback/chargeback, forecasting, annual planning, cloud procurement, or contract-renewal processes.

• FinOps or relevant cloud certification, experience in a global SaaS or large-scale technology environment, and the ability to manage multiple concurrent optimization initiatives while maintaining focus on measurable financial outcomes.

At Medallia, we celebrate diversity and recognize the value it brings to our customers and employees. Medallia is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age (40 and over), disability, genetic information, veteran status or military service, or any other status protected by state or local law. Individuals with a disability who need an accommodation to apply please contact us at [email protected]. For information regarding how Medallia collects and uses personal information, please review our Privacy Policies. Applications will be accepted for 30 days from the date this role was posted or until the role has been filled.