Staff Business Analytics Engineer

• 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

Requirements Significant experience in business analytics, analytics engineering, FinOps, financial analytics, business intelligence, or a related discipline Demonstrated ability to lead complex, ambiguous analytics initiatives and influence strategic decisions at Staff level Experience analyzing cloud, infrastructure, technology, or complex cost structures and identifying spend drivers Experience developing financial forecasts, unit economic models, cost allocation methodologies, scenario analyses, or similar decision-support models Strong SQL skills and experience transforming complex datasets into reliable, reusable analytical models Strong financial and analytical acumen connecting technical and operational metrics to financial and business outcomes Experience developing dashboards, reporting systems, and self-service analytics Ability to translate ambiguous business questions into metrics, analytical approaches, and recommendations Strong problem-solving skills and ability to identify patterns, investigate root causes, and navigate incomplete information Ability to communicate complex analytical and financial concepts to technical and non-technical stakeholders Ability to build trusted partnerships and influence without authority across Engineering, Finance, and other functions Willingness to explore cutting-edge technologies and AI tools while developing expertise in engineering operations and FinOps Serious interest in having fun at work Must be work authorized in the United States without employer sponsorship Bonus: experience with cloud-native or SaaS FinOps; AWS, Azure, GCP, Snowflake, or Databricks cost analysis; cloud cost allocation, tagging, chargeback/showback, commitments, capacity planning, and optimization; engineering or R&D operations; engineering productivity and organizational health metrics; modern data transformation, visualization, and BI platforms; AI-assisted analytics, forecasting, reporting, or operational workflows Core Competencies Demonstrates expertise in FinOps analytics, financial forecasting, and cost allocation methodologies, with a strong ability to communicate insights to diverse stakeholders. Proficient in building scalable data models and dashboards while driving high-impact analytical initiatives. Highest-signal resume keywords FinOps Analytics Financial Forecasting SQL Skills Cost Allocation Methodologies Dashboard Development ATS Optimization Keywords Hard Skills Business Analytics Analytics Engineering Financial Analytics Unit Economic Models Scenario Analyses Cost Drivers Analysis Data Quality Practices Analytical Frameworks Performance Metrics Cloud Cost Analysis Soft Skills Problem-Solving Skills Communication Skills Influencing Without Authority Building Trusted Partnerships Continuous Improvement Mindset Industry Keywords Cloud Cost Allocation Chargeback/Showback Capacity Planning Engineering Operations R&D Operations Operational Workflows Financial Reporting Operational Reporting Technology Spend Utilization Optimization Tools & Technologies AWS Azure GCP Snowflake Databricks BI Platforms AI Tools Self-Service Analytics Data Visualization Tools Reporting Systems #J-18808-Ljbffr Jobtailor