FinOps Analyst
Listed on 2026-06-12
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IT/Tech
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Engineering
About the role
As a Fin Ops Analyst, you will be responsible for ensuring Yoco derives maximum value from every rand spent across our cloud and SaaS ecosystem.
Reporting to the Cloud Operations team within Cloud Engineering, you will serve as the bridge between Engineering, Finance, and Procurement, bringing visibility, accountability, and optimisation to technology spend across AWS, Azure, GCP, and our core SaaS platforms.
You will own and drive the Fin Ops lifecycle across Cloud Engineering spend and associated technology platforms by improving cost transparency, identifying optimisation opportunities, governing SaaS utilisation, and partnering with engineering teams to embed cost‑conscious decision‑making into day‑to‑day operations.
This role is ideal for someone with a strong cloud infrastructure background who has developed a passion for cloud economics, cost optimisation, and using data to drive operational and commercial outcomes. Success in this role requires a combination of analytical rigour, technical credibility, commercial awareness, and the ability to influence stakeholders without formal authority.
What you will be doingDevelop and maintain cost visibility dashboards that provide accurate allocation of cloud and SaaS spend across departments, products, and projects.
Monitor, analyse, and optimise spend across AWS, Azure, and GCP through effective management of Reserved Instances, Savings Plans, Committed Use Discounts, and other optimisation mechanisms.
Identify, quantify, and drive cost‑saving opportunities by partnering with engineering teams on initiatives such as rightsizing, storage optimisation, and workload efficiency improvements.
Govern SaaS utilisation across key platforms, ensuring licensing remains aligned to business needs and eliminating unnecessary spend.
Build strong relationships with Engineering, Finance, and Procurement stakeholders to establish Fin Ops best practices and operational processes.
Lead commercial discussions with technology vendors to negotiate favourable pricing, contract terms, and enterprise agreements.
Investigate anomalies, proactively detect cost spikes, and provide meaningful recommendations to mitigate financial risk.
Deliver regular reporting and insights to leadership, enabling informed decision‑making around technology investment and cloud consumption.
You have 3–8 years of experience in Fin Ops, Cloud Operations, Cloud Engineering, Dev Ops, Platform Engineering, or a closely related field.
You have hands‑on experience managing and optimising cloud spend within AWS and ideally across Azure and GCP.
You can demonstrate measurable cost optimisation outcomes and clearly articulate the actions taken to achieve them.
You have a strong understanding of cloud pricing models, discount structures, and optimisation techniques across major cloud providers.
You are comfortable interrogating large datasets and can independently build analyses using SQL, spreadsheets, billing exports, or other analytical tools.
You understand cloud infrastructure concepts and can engage credibly with engineers on topics such as compute, storage, networking, and workload optimisation.
You have experience managing SaaS licensing, utilisation, renewals, and vendor relationships.
You are comfortable negotiating commercial agreements and working with procurement stakeholders.
You are highly collaborative and know how to influence priorities across multiple teams without relying on formal authority.
You enjoy solving complex problems, challenging assumptions, and turning data into actionable business outcomes.
Fin Ops Certified Practitioner (FOCP) or Fin Ops Certified Professional certification.
Experience operating within Fin Tech, SaaS, cloud‑native, or high‑growth technology environments.
Experience managing multi‑million‑rand cloud budgets.
Experience consolidating SaaS tooling into enterprise‑wide commercial agreements.
We encourage applicants from diverse backgrounds to apply and ask that you please send your application in English and help us reduce unconscious bias by leaving out your picture, age, address, and other unnecessary information in your CV.
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