Senior Pricing Data Scientist

From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.

About Us

Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.

About the Role

This is a unique role that sits at the intersection of economics, analytics, product, and strategy. You’ll combine rigorous quantitative analysis with customer research and commercial thinking to shape how Fivetran prices, packages, and monetizes its products.

What You’ll Do

Analyze product usage, deal, financial, and billing data to model pricing, packaging, and monetization scenarios.

Design frameworks to assess willingness to pay, customer value, and price realization across customer segments and product lines.

Conduct research on pricing strategies, packaging models, and monetization approaches across comparable and adjacent markets.

Lead pricing and packaging strategy for new product launches, partnering with Product, GTM, and Finance to define commercial models

Build value-based pricing and econometric models to quantify elasticity, customer ROI, and lifetime value.

Design and execute pricing experiments

Synthesize quantitative analysis, customer research, and competitive intelligence into executive recommendations that influence pricing strategy.

Drive customer and prospect research to understand purchasing behavior, value perception, and pricing friction.

Partner closely with Product, Analytics, Finance, Sales, Marketing, and Legal to deliver end-to-end pricing initiatives.

Define KPIs and dashboards that measure pricing performance and identify optimization opportunities.

Continuously evolve our pricing and packaging strategy to improve ARR growth, customer adoption, and value realization.

Skills We’re Looking For

5–8 years designing or operating SaaS or sophisticated B2C pricing models, preferably with usage‑based or behavioral pricing experience

Deep quantitative chops—an advanced degree (PhD/MSc) in Economics, Statistics, Operations Research, Applied Math, or similar

Fluency in SQL and Python for large‑scale data analysis; proficiency with BI tools such as Looker or Tableau; bonus for dbt

Hands‑on experience with conjoint, MaxDiff, Gabor-Granger, or Van Westendorp surveys and causal experiment design

Strong attention to detail and data analysis skills – including interpreting results and recommending actions

Proven record of turning complex models and analyses into recommendations and shipping changes that moved ARR, gross margin, or NRR