Pricing & Monetization Data Scientist — Growth & Strategy

Fivetran, Inc.

California

Hybrid

USD 215,000 - 269,000

Full time

5 days ago
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Benefits offered by this job

Health insurance
RSU stock grants
Professional development
Vacation policy
Cell phone stipend

Job summary

Fivetran seeks a pricing-focused leader to shape how we price, package, and monetize our SaaS products. You will blend rigorous quantitative analysis with market research to drive ARR growth and improved value realization.

The role sits at the intersection of economics, analytics, product, and strategy, collaborating with Product, Finance, Sales, Legal, and Analytics. You’ll design experiments, assess willingness to pay, and translate insights into executive-level recommendations.

Qualifications

  • 5–8 years designing or operating SaaS or sophisticated pricing models.
  • Advanced degree (PhD/MSc) in Economics, Statistics, Operations Research, Applied Math, or similar.
  • Fluency in SQL and Python for large-scale data analysis; BI tools such as Looker or Tableau; dbt a plus.

Responsibilities

  • Analyze product usage, deals, financials to model pricing and monetization.
  • Lead pricing/packaging strategy for new product launches with cross-functional teams.
  • Build value-based pricing and econometric models to quantify elasticity and ROI.
  • Define KPIs and dashboards to measure pricing performance and opportunities for optimization.

Skills

Pricing design
Usage-based pricing
Econometrics
SQL
Python
Looker
Tableau
Experiment design
Conjoint surveys
Cross-functional

Education

PhD or MSc in Economics/Statistics

Tools

Looker
Tableau

Job description

Fivetran seeks a pricing-focused leader to shape how we price, package, and monetize our SaaS products. You will blend rigorous quantitative analysis with market research to drive ARR growth and improved value realization.

The role sits at the intersection of economics, analytics, product, and strategy, collaborating with Product, Finance, Sales, Legal, and Analytics. You’ll design experiments, assess willingness to pay, and translate insights into executive-level recommendations.

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