FinOps Analytics Engineer - Cloud Cost and Growth

Jobtailor; California (MO); On-site; USD 140,000 - 210,000; Full time

Job summary

Jobtailor is seeking a Senior FinOps Analytics leader to own and evolve cost analytics across technology spends, utilization, and optimization opportunities. You will build unit economics models linking infrastructure costs to business drivers and develop forecasts for cloud and engineering expenses.

You will partner with Engineering and Finance to evaluate tradeoffs, establish allocation methodologies, and deliver scalable data models and self-service analytics.

Qualifications

• Significant experience in business analytics, analytics engineering, FinOps, financial analytics, BI, or related discipline.
• Experience leading complex analytics initiatives and influencing strategic decisions at Staff level.
• Experience analyzing cloud, infrastructure, or cost structures and identifying spend drivers.
• Experience developing forecasts, unit economic models, cost allocation methodologies, and scenario analyses.

Responsibilities

• Own and evolve FinOps analytics covering technology spend, cost drivers, utilization, efficiency, and optimization opportunities.
• Develop unit economic models connecting infrastructure and technology costs to product, customer, workload, and business drivers.
• Build forecasts for cloud, infrastructure, tooling, and engineering costs.
• Analyze actual performance against forecasts, identify variance drivers, and recommend actions to Engineering and Finance leaders.
• Establish allocation and attribution methodologies for products, services, environments, and workloads.
• Partner with Engineering, Finance, and business leaders to evaluate cost, performance, reliability, growth, and customer-impact tradeoffs.
• Define metrics and analytical frameworks for engineering organizational performance.
• Build scalable data models, dashboards, and self-service analytics.
• Identify trends, anomalies, and optimization opportunities and drive investigations through recommendations.
• Develop scenario and sensitivity analyses for architecture, usage, growth, pricing, and engineering investments.
• Establish data quality and validation practices for financial, operational, and engineering reporting.
• Communicate complex financial and operational insights to technical and non-technical audiences.
• Drive ambiguous, high-impact analytical initiatives from problem definition through implementation, adoption, and measurable outcomes.
• Contribute to learning, teaching, experimentation, and continuous improvement

Skills

SQL skills

Financial forecasting

Cost allocation

Unit economics

Dashboard development

Data modeling

Data quality

Cloud cost analysis

Tools

AWS

Azure

GCP

Snowflake

Databricks

BI platforms

Self-Service Analytics

Data Visualization

Reporting Systems

Job description

Jobtailor is seeking a Senior FinOps Analytics leader to own and evolve cost analytics across technology spends, utilization, and optimization opportunities. You will build unit economics models linking infrastructure costs to business drivers and develop forecasts for cloud and engineering expenses.

You will partner with Engineering and Finance to evaluate tradeoffs, establish allocation methodologies, and deliver scalable data models and self-service analytics.