Senior Pricing & Monetization Data Scientist

Fivetran, Inc.; Michigan; Hybrid; USD 215,000 - 269,000; Full time

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

From the company’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With the company, 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

the company 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. the company 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 the company 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 the company 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

• 5–8years 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
• Collaborative mindset with Product, Analytics, Finance, Sales, and Legal; you can navigate from whiteboard to contract terms with ease
• Strong communication and presentation skills with ability to influence at the executive level

#LI-DJ1 #LI-Hybrid

The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.

Oakland Pay Range

$215,424—$269,280