Product and Services Analyst

GE Vernova

. Provide analytical leadership across the SaaS portfolio, professional services, and FinOps functions .

Posted 9/22/2026full-timeRemote • United StatesMid-LevelSenior💰 $89,700 - $149,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong analytical leadership in SaaS and FinOps environments, with expertise in developing KPIs, dashboards, and financial insights to optimize product health and profitability. Proficient in advanced data analysis, financial modeling, and cost management strategies.

Highest-signal resume keywords

SaaS Financial ModelingAdvanced Excel ProficiencyData Visualization with Power BISQL ProficiencyCloud FinOps Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisBusiness Performance MetricsFinancial AnalysisCost-to-Serve AnalysisGross Margin AnalysisPerformance BenchmarkingUnit EconomicsRevenue Growth AnalysisImplementation EconomicsProduct-Level P&L Analysis

Soft Skills

Strong Analytical SkillsQuantitative Skills

Tools & Technologies

Power BITableauExcelSQL

Industry Keywords

SaaSFinOpsCloud InfrastructureCost ManagementOperational Analytics

Tech Stack

Tools & technologies

AWSCloudSQLTableau

About the role

Key responsibilities & impact

Provide analytical leadership across the SaaS portfolio, professional services, and FinOps functions
Establish KPIs, analytics, benchmarks, and financial insights to measure product health, services performance, engineering investment, cost-to-serve, and profitability
Develop and maintain analytics frameworks for Cloud SaaS products and implementation/services businesses
Establish standardized KPIs, dashboards, benchmarks, and reporting for operational, commercial, and financial performance
Analyze ARR, revenue growth, software gross margin, customer adoption, retention, expansion, usage, bookings, ASP, discounting, and customer/product profitability
Identify trends, performance gaps, and opportunities to improve product economics and customer value
Establish Engineering-to-Revenue and other product investment metrics
Provide insights for product investment and portfolio prioritization
Establish KPI definitions, calculation methodologies, data sources, and ownership across functions
Establish internal and external benchmarks across products, regions, industries, customer segments, implementation models, and product lines
Develop analytics for software implementation programs, including revenue, backlog, project duration, time-to-value, utilization, staffing, margin, forecast accuracy, milestones, scope changes, rework, customer readiness, and on-time delivery
Analyze implementation economics and cost-to-serve with Services, Finance, and Product leadership
Identify drivers of margin erosion, resource inefficiency, scope creep, delivery complexity, and recurring implementation costs
Lead FinOps and SaaS cost management by aligning cloud infrastructure and operational costs to individual SaaS products and offerings
Establish cost-to-serve, unit economics, and product-level profitability visibility
Report cloud cost optimization and performance metrics
Identify infrastructure efficiency, utilization, gross margin, and cost-reduction opportunities
Partner with Engineering, Product, Finance, and Cloud Operations on measurable cost reductions and continuous improvement

Requirements

What you’ll need

Approximately 3-5 years of similar experience, ideally in SaaS or FinOps environments
Advanced Excel proficiency
Experience with data visualization; Power BI preferred
Must be able to build own dashboards
Bachelor’s degree required
Must reside in the United States
Valid work authorization for the United States required
No sponsorship offered
Strong analytical and quantitative skills
Experience developing and managing business performance metrics, dashboards, reporting, and analytical frameworks
Strong understanding of financial analysis and business economics, including revenue, costs, margins, profitability, forecasting, and investment performance
Proficiency with data analysis and reporting tools and multiple data sources
Strong experience with SaaS, financial, and operational analytics
Advanced data analysis and business intelligence capabilities
Proficiency with SQL, Tableau/Power BI, Excel, or similar analytics platforms
Experience with SaaS financial modeling and unit economics
Experience with product-level P&L analysis, engineering investment metrics, professional services economics, cost-to-serve, gross margin analysis, and performance benchmarking
Knowledge of Cloud FinOps and SaaS cost management
Experience analyzing AWS/cloud infrastructure costs, usage and utilization, unit costs, cost allocation, and cloud optimization opportunities

Benefits

Comp & perks

Discretionary annual bonus
Medical, dental, vision, and prescription drug coverage
Health Coach from GE Vernova, a 24/7 nurse-based resource
Employee Assistance Program with 24/7 confidential assessment, counseling and referral services
GE Vernova Retirement Savings Plan
Tax-advantaged 401(k) savings opportunity with company matching contributions
Company retirement contributions
Fidelity resources and financial planning consultants
Tuition assistance
Adoption assistance
Paid parental leave
Disability benefits
Life insurance
12 paid holidays
Permissive time off
Professional development opportunities
Relocation assistance is not provided