Pricing & Monetization Data Scientist — Growth & Strategy

Fivetran, Inc.

Michigan

Hybrid

USD 215,000 - 269,000

Full time

5 days ago
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Job summary

Fivetran is seeking a pricing and analytics leader in the Oakland area to shape how we price, package, and monetize our data platforms. You will blend rigorous quantitative analysis with market research to define commercial models and packaging across product lines.

The role requires deep SaaS pricing experience, advanced degree, and strong collaboration with Product, Finance, and Sales to drive ARR growth and value realization.

Qualifications

  • 5–8 years designing or operating SaaS or sophisticated pricing models, preferably usage-based.
  • Advanced degree in Economics, Statistics, OR, Applied Math or similar.
  • Fluency in SQL and Python for large-scale data analysis; BI tools experience.
  • Experience with conjoint, MaxDiff, Gabor-Granger, or Van Westendorp surveys and causal design.

Responsibilities

  • Analyze product usage, deal, financial, and billing data to model pricing and monetization scenarios.
  • Design frameworks to assess willingness to pay, customer value, and price realization across segments.
  • Lead pricing and packaging strategy for new product launches with Product, GTM, and Finance.
  • Build value-based pricing and econometric models to quantify elasticity and lifetime value.
  • Design and execute pricing experiments and synthesize findings for executives.
  • Drive customer research to understand purchasing behavior and pricing friction.
  • Partner with Product, Analytics, Finance, Sales, Marketing, and Legal on end-to-end pricing initiatives.
  • Define KPIs and dashboards to measure pricing performance and optimization opportunities.

Skills

Pricing strategy
Quantitative analysis
SaaS pricing experience
Cross-functional collaboration
Executive communication

Education

PhD/MSc in Economics/Statistics/OR/Applied Math

Tools

Looker
Tableau
dbt

Job description

Fivetran is seeking a pricing and analytics leader in the Oakland area to shape how we price, package, and monetize our data platforms. You will blend rigorous quantitative analysis with market research to define commercial models and packaging across product lines.

The role requires deep SaaS pricing experience, advanced degree, and strong collaboration with Product, Finance, and Sales to drive ARR growth and value realization.

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