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Fluence

Pricing Analyst

Fluence

Pricing Analyst developing data-driven pricing insights for Fluence, a global leader in intelligent energy storage. Supporting deal pricing engine and preparing pricing analysis for executives.

Posted 7/14/2026full-timeArlington • Texas, Virginia • 🇺🇸 United StatesJuniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analysis and pricing strategy development, utilizing strong Excel skills and familiarity with data tools such as SQL and Python. Capable of building and maintaining pricing datasets and models while providing analytical support for pricing decisions.

Highest-signal resume keywords
Data AnalysisPricing Strategy DevelopmentExcel ProficiencySQL ExperiencePython Familiarity

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data AnalysisPricing AnalysisMarket BenchmarkingDeal Outcome AnalysisPricing Model Development
Soft Skills
Structured Problem-SolvingAttention to Detail
Tools & Technologies
ExcelSQLPythonTableauCPQ Workflows
Industry Keywords
Commercial FinancePricing GuidancePricing DatasetsScenario AnalysisExecutive Presentations

Tech Stack

Tools & technologies
PythonSQLTableau

About the role

Key responsibilities & impact
  • Analyze deal data, market benchmarks, and competitor pricing signals to support pricing recommendations
  • Identify pricing trends, deal outcomes, and drivers of win/loss performance
  • Support development of pricing guidance based on data and commercial inputs
  • Build and maintain pricing datasets across regions and products
  • Ensure accuracy, consistency, and usability of pricing data
  • Provide analytical support for active deals (benchmarks, margin checks, scenario analysis)
  • Prepare inputs for pricing reviews and approval processes
  • Support development of standardized pricing models and tools
  • Maintain Excel-based pricing models and support CPQ workflows
  • Build key dashboards, presentations, and analysis and support presentations to executives and key decision makers.

Requirements

What you’ll need
  • Bachelor’s degree in Business, Finance, Engineering, Data Science, or related field
  • 1–3 years of experience in analytics, pricing, or commercial finance
  • Strong Excel skills and comfort with data analysis
  • Experience with data tools (SQL, Python, Tableau) a plus
  • Structured problem-solving and attention to detail.

Benefits

Comp & perks
  • Unleash Voices
  • Customer Fluent
  • Infinite Impact
  • All In