Cloud Hosting Finance Analyst

Canva•San Francisco, CA

1d•$146,000 - $215,000•Hybrid

About The Position

Tech & Product Finance owns the economics of Canva's technical engine, the infrastructure, cloud, compute, GPU and AI investments that power our products and increasingly define our cost base and margin profile. As Canva becomes an AI-native company, these are the fastest-growing and most strategically important lines on the P&L. Within that, the Technology & Infrastructure team owns the finance seat around how Canva is built and run: the compute, storage and infrastructure that keeps the product running for hundreds of millions of users. Hosting is the single biggest cost lever we steward, and it's one of the fastest-moving: new AI workloads, new negotiation cycles and new savings mechanisms show up almost every quarter. We partner closely with Infra, Platform, Procurement and FinOps leadership to make sure every dollar of hosting spend is understood, forecast well and actively optimised. Hosting is getting more complex as workloads scale with AI and organic growth, chargeback rolls out and new negotiation cycles come up. This role is the hybrid finance analyst and data analyst that keeps the spend understood, trusted and well forecasted. You'll sit alongside AI and non-AI hosting spend analysts, owning the data layer that both lean on, and partnering with Accounting and technical accounting on the methodologies that split hosting spend across the P&L. Your work gives Finance Business Partners the confidence to lift the numbers straight into strategic analysis, without worrying whether the data holds up. If you enjoy cloud cost data and turning complex data sets into something people can action and confidently rely on, this role is for you.

Requirements

Strong data proficiency and daily comfort with a BI tool (Mode, Looker, Omni or similar).
Strong modeling skills, especially driver-based modeling for cloud hosting spend.
Hands-on experience with large transactional datasets, ideally cloud cost or billing data (CUR, FinOps tooling).
Working knowledge of AWS or GCP billing, including Reserved Instances, Savings Plans, Capacity Blocks and Committed Use Discounts.
Experience operating within an FP&A function or similar, used to the rhythm of monthly close, quarterly forecasting cadences, variance analysis and the planning cycles that come with it.
Fluent use of AI tools for model building and daily analytical work.
Clear written communication and attention to detail across invoices, accruals, reclasses and reconciliations.

Nice To Haves

Experience with Anaplan (strongly preferred) or another enterprise planning tool (Adaptive, Pigment, Oracle EPM).
Any exposure to FinOps practices and tooling (ProsperOps, Vantage, native cloud cost tools), or chargeback/showback model design.

Responsibilities

Reconcile hosting data across all centralized cloud hosting vendor bill line items.
Own the R&D reclass (COGS vs non-COGS) and free reclass (AI vs non-AI) methodologies in the Anaplan hosting model, including classification rules for splitting hosting spend across the P&L and partnering with Accounting and tech accounting on audit readiness.
Own the finance rhythm for admin hosting: monthly close, quarterly Outlooks and the annual AOP, including ProsperOps accruals and tracking, AWS and GCP invoice validation and monthly billing console reconciliations, reclasses, Anaplan actuals and BvA commentary.
Build and maintain queries and dashboards to answer questions about service cost changes or new workload costs.
Partner with FinOps and Finance Data on tagging, mapping, vendor onboarding, and anomaly detection.
Prepare models and scenario analysis for cloud hosting vendor renewal or new negotiation conversations, including commit sizing, break-even analysis, and realized-benefit tracking.
Use AI tools fluently in daily workflows and help design and run hands-on modeling for chargeback pilot groups.
Prepare the models and scenario analysis that feed cloud hosting vendor renewal or new negotiation conversations, including commit sizing, break-even analysis and realised-benefit tracking.