Are you passionate about using data, analytics, and automation to drive smarter decisions at scale?
Do you enjoy partnering with technical and business teams to understand complex cost drivers and uncover opportunities for optimization?
About the RoleAs a Senior FinOps Analyst, you will play a key role in shaping how AI costs are measured, analyzed, and optimized across the organization. You will own the data, analytics, and reporting that help teams understand the financial impact of AI adoption, while building scalable solutions that support effective decision-making and sustainable growth. This role offers an opportunity to partner closely with engineering, product, and finance stakeholders to improve visibility, forecasting, and cost efficiency.
Our operating model is built around enablement rather than gatekeeping. Product and engineering teams evaluate models and select the options that best meet their needs. Your role is to make the cost implications of those choices visible early, clearly, and credibly so teams can make informed decisions. The goal is to influence through trusted data and practical insight, not through unnecessary approval processes.
Responsibilities- Own AI cost modeling and attribution across tokens, models, products, teams, and shared infrastructure.
- Define unit-cost metrics that distinguish usage growth from efficiency changes.
- Maintain accurate, explainable cost data with clear lineage and defensible methodology.
- Build Python pipelines that normalize telemetry, provider API data, platform usage, and cloud billing into trusted datasets.
- Automate recurring reporting, month-end close support, and anomaly detection.
- Develop practical BI dashboards for engineering teams and credible reporting for Finance stakeholders.
- Analyze cost movements and explain drivers, expected impacts, and forward-looking implications.
- Identify, quantify, and track optimization opportunities across model selection, prompt efficiency, caching, batching, retrieval, commitments, and tooling overlap.
Requirements- Experience in FinOps, cloud cost management, technology finance, data analytics, or a related analytical role.
- Strong analytical judgment, attention to detail, and ability to explain methodology, assumptions, and results.
- Working knowledge of AI inference cost drivers, including tokens, context length, model tier, caching, retrieval patterns, and agentic workload behavior.
- Python experience building APIs, data pipelines, normalized datasets, and repeatable automation.
- Strong SQL skills and dashboard-building experience in Power BI or Tableau for technical and finance audiences.
- Comfort using AI-assisted development tools such as Codex or Claude to accelerate analysis, automation, documentation, or pipeline work.
- Automation-first mindset focused on scalable reporting and reduced manual effort.
- Clear written communication that turns complex cost data into concise, actionable narratives.
Work in a Way That Works for YouWe promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working PatternWorking flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
