Pricing & Monetization Analytics Lead – GTM Growth

Trustpilot Italia; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

25 days holiday per year

Volunteering days

Pension and life insurance

Health cash plan

Headspace access

Cycle-to-work

Job summary

Trustpilot is seeking a Lead Pricing & Monetization Analyst to join our GTM Analytics team in a high-impact role. You will bridge statistical modeling with strategic GTM execution in a B2B SaaS environment, driving growth across the customer lifecycle and monetization initiatives.

You will lead pricing analytics, cohort analysis, and predictive modeling while building scalable analytics in R/Python and Looker.

Qualifications

• Fluent in SQL and R/Python with strong statistical understanding.
• Experience solving GTM problems using analytical techniques in SaaS.
• Proven ability to communicate complex models to non-technical stakeholders.

Responsibilities

• Partner with product and commercial leadership to evaluate pricing and packaging strategies.
• Design and execute advanced analyses including cohort analysis and segmentation.
• Build analytics infrastructure and scale solutions in R/Python integrated into the data stack.
• Provide actionable insights to influence data-informed decisions across the organization.
• Architect dashboards in Looker to deliver actionable insights for stakeholders and leadership.
• Collaborate with data engineering to ensure robust, analyst-ready pipelines using dbt.

Skills

SQL

R/Python

Looker/LookML

dbt

BigQuery

Airflow

Cohort analysis

Clustering

Predictive modeling

Tools

Looker

dbt

Airflow

Job description

Trustpilot is seeking a Lead Pricing & Monetization Analyst to join our GTM Analytics team in a high-impact role. You will bridge statistical modeling with strategic GTM execution in a B2B SaaS environment, driving growth across the customer lifecycle and monetization initiatives.

You will lead pricing analytics, cohort analysis, and predictive modeling while building scalable analytics in R/Python and Looker.