Senior Cloud FinOps Analyst

Pay Range: $55-65/hr (Pay is dependent on years of experience and education)

Start Date:

ASAP

7+ years of experience in a similar role

Experience with spend across AWS

Exposure to Azure/GCP and major SaaS platforms

Experience with: data pipelines, allocation, forecasting, commitments & optimization

Experience with: cost platforms, defining schemas, running incident reviews & commitment strategy

Day to Day: A client in Chicago is looking for a Sr. Fin Ops Analyst to own the financial rigor of their cloud program. Turning usage into actionable insights and measurable savings across engineering and finance. Daily responsibilities will include the following:

• Own the Fin Ops data layer:
  Build and govern CUR/usage pipelines leveraging existing cost platforms, or home built tooling. Define schemas, SLAs, and FOCUS-aligned datasets; ensure 99%+ allocation coverage via tags/accounts.
• Establish showback/chargeback:
  Refine allocation models, publish monthly bills, resolve disputes, and drive accountability with budget vs. actuals and unit-economics KPIs.
• Forecast & plan:
  Deliver driver-based forecasts (product/BU), scenario models for roadmap changes, and monthly variance analyses for FP&A and engineering leaders.
• Optimize at scale:
  Create automation and playbooks (rightsizing, scheduling, storage tiering, egress patterns), partner with platform engineering team to refine opportunities, land changes, and track verified savings.
• Commitment strategy:
  Lead SP/RI/CUD planning and renewals, target coverage and utilization %, and negotiate commercial terms with vendors/procurement.
• Governance & guardrails:
  Define tagging standards, budgets/alerts, and policy-as-code controls; measure adherence and lead corrective actions.
• Anomaly response:
  Operate spend monitoring, triage spikes, run incident reviews, and prevent recurrences.
• Executive reporting:
  Build concise, role-based dashboards (engineer → exec) and a quarterly narrative of savings, risks, and investments.
• Program leadership:
  Set OKRs, run backlogging and ceremonies, mentor team members, and grow a community of practice aligned to the Fin Ops Framework (Inform/Optimize/Operate).