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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in AWS and GCP cost optimization, data engineering, and financial analytics, with a strong focus on automating cost reporting and implementing effective financial operations strategies. Proficient in building and analyzing forecasting models, anomaly detection, and presenting insights to diverse audiences.
Highest-signal resume keywords
AWS ExpertiseGCP KnowledgeData Engineering with dbt and BigQueryAutomation with Python and TerraformFinancial Analytics and Cost Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AWS Cost OptimizationGCP Billing StructuresSQL at ScaleStatistical ForecastingDimensional ModelingAnomaly DetectionData TestingCost AllocationChargebackShowback
Soft Skills
Strong CommunicationCross-Functional Collaboration
Tools & Technologies
BigQueryDbtPythonTerraformLambdaAWS Cost ExplorerAWS Cost & Usage ReportsGCP Billing ReportsBI ToolsHex
Industry Keywords
FinOpsCloud Cost ManagementCloud GovernanceData AnalyticsData Science
Tech Stack
Tools & technologiesAWSBigQueryCloudGoogle Cloud PlatformPythonSQLTerraform
About the role
Key responsibilities & impact- Analyze billing, usage, and cost trends across AWS and GCP to identify and realize savings opportunities
- Design and operate BigQuery/dbt models that transform raw billing and usage data into reconciled FinOps marts
- Build cost-versus-revenue and customer segmentation models for unit economics and margin analysis
- Develop forecasting models, statistical anomaly detection, and rigorous savings opportunity analyses
- Implement tagging policies, cost allocation, chargeback, and showback
- Automate cost reporting, anomaly detection, alerting, and cost-policy enforcement using Python, Terraform, Lambda, or similar tools
- Partner with Engineering on cost-efficient architecture decisions
- Support Finance with budget tracking, forecasting, financial KPIs, dashboards, and self-service analytics
Requirements
What you’ll need- Strong AWS expertise and working GCP knowledge, including pricing models, billing structures, and cost optimization mechanics
- Data engineering experience with dbt, BigQuery or an equivalent modern warehouse, SQL at scale, and analytics data modeling
- Knowledge of dimensional modeling, incremental models, and data testing
- Data science fundamentals including statistical forecasting, anomaly detection, and experimentation
- Automation and scripting skills with Python, Terraform or Pulumi, Lambda, or Bash
- Familiarity with AWS Cost Explorer, AWS Cost & Usage Reports, GCP Billing Reports, and BI/dashboarding tools such as Hex
- Experience with or ability to learn Linear and Notion
- Ability to analyze cost data and present it clearly to technical and non-technical audiences
- Prior experience in data analytics, data engineering, or data science within FinOps, cloud cost management, or cloud governance
- Experience with a dedicated cloud cost management platform such as CloudZero or Vantage is a plus, not required
- Strong communication and cross-functional collaboration skills
Benefits
Comp & perks- Fully remote work
- Work from anywhere in the world
- WeWork membership or co-working allowance usable anywhere in the world
- ESOP (equity ownership)
- Tech allowance for laptop, monitor, headphones, or other work equipment
- Health insurance: 100% coverage for employees and 80% for dependents
- Annual company off-sites
- Flexible, asynchronous work
- Annual education allowance for courses, books, conferences, or other learning