FinOps Analyst

Location: Edinburgh

In this position, you’ll be based in the Edinburgh office for a minimum of three days a week, with the flexibility to work from home for some of your working week. Find out more about our flexible work culture at computershare.com/flex.

We give you a world of potential

Computershare has an exciting opportunity for a FinOps Analyst to join our established and evolving team in Edinburgh.

Why is this role exciting when there are so many other positions in the market? Well, there are a few things that make this role stand out:

- You’ll join an established FinOps team with practices already in place and scope to help mature our reporting, tooling and ways of working, particularly across AI and hybrid cloud.
- We’re a global business, so you will continuously get exposure to different areas and development opportunities.
- We encourage flexible working, allowing you to work in the way that suits you best.

Interested? Keep on reading to find out a bit more about what you’ll be doing, and the type of person that we’re looking for.

A role you will love

As one of our FinOps Analysts, you will help turn technology cost, consumption and performance data into actionable insight across a hybrid cloud environment, covering both public cloud, particularly Azure, and private cloud infrastructure. Building on established practices, you will strengthen reporting, allocation, forecasting and optimisation, with a significant focus on AI consumption, token economics and measurable business value.

You will work closely with finance, engineering, operations and AI service owners to explain cost drivers, improve accountability and support informed investment decisions. This is a hands-on analytical role: maintaining trusted reporting and tooling while helping the team mature its data quality, automation, governance and optimisation capabilities.

Some key responsibilities include:

- Develop and maintain actionable Power BI reports, semantic models and dashboards, alongside Grafana dashboards and third-party FinOps tooling.
- Analyse public and private cloud utilisation, capacity and cost to identify rightsizing, idle resource, commitment and workload-placement opportunities; track delivery and validate realised savings with service owners.
- Produce forecasts, budgets and scenario analysis across hybrid cloud and AI services, explaining demand, pricing and consumption changes and distinguishing cashable savings, cost avoidance and released capacity.
- Monitor cost allocation, tagging and policy compliance; highlight anomalies, ownership gaps and budget risks, and work with stakeholders to resolve them.
- Build AI cost and consumption reporting across model APIs, AI Platforms, copilots and agent services.
- Develop token economics reporting to measure input, output and cached token volumes and rates.
- Partner with AI and engineering teams to assess model and service options, provisioned versus consumption-based pricing and GPU utilisation where relevant, balancing cost with quality, latency and business outcomes.
- Apply FinOps to private cloud as well as public cloud, combining infrastructure, virtualisation, storage, licensing, support and capacity data into transparent cost models and reporting.

What will you bring to the role?

We are looking for someone who combines practical FinOps experience with strong reporting, data analysis and tooling skills. You will be confident translating complex cost and consumption data into clear recommendations, with an interest in AI economics and the ability to improve established practices.

With this role being global and a key part of our team, we are looking for someone with prior experience in a similar role. You will need excellent communication skills to effectively provide clear verbal and written communications with internal stakeholders, their teams and the leadership team.

Other key skills required for the role include:

- Proven experience in a FinOps or technology analytics role within a complex organisation, contributing to an established practice and its continued improvement.
- Strong public cloud service and cost optimisation knowledge, particularly Microsoft Azure, together with an understanding of private cloud cost drivers.
- Strong analytical and communication skills, producing accurate reporting and clear commentary for both technical and non-technical audiences.
- Hands-on experience building and maintaining Power BI reports and semantic models. Experience with Grafana dashboards and third-party FinOps platforms is highly desirable, alongside familiarity with the Microsoft FinOps toolkit.
- Practical understanding of AI cost and usage reporting and token economics, including input and output tokens, caching, model pricing, agent consumption.
- Excellent attention to detail, sound analytical judgement and a disciplined approach to data quality, reconciliation, documented assumptions and consistent reporting definitions.
- Knowledge of the FinOps Foundation Framework, active FinOps Certified or willing to work towards FinOps certifications.

If this sounds like the role for you and are interested in building a career within FinOps then apply today!

Rewards designed for you

Flexible work to help you find the best balance between work and lifestyle

Health and wellbeing rewards that can be tailored to support you and your family

Invest in our business by setting aside salary to purchase shares in our company, and you’ll receive a company contribution as well.

Extra rewards ranging from recognition awards and team get togethers to helping you invest in your future

And more. Ours is a welcoming and close-knit community, with experienced colleagues ready to help you grow. Our careers hub will help you find out more about our rewards and life at Computershare, visit computershare.com/careershub