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Trustpilot, a profitable, high-growth FTSE-250 company, is seeking a Lead Data Analyst for Pricing & Monetization to join its Go-To-Market (GTM) Analytics team. This is a high-impact individual contributor role focused on bridging complex statistical modeling with strategic GTM execution in a B2B SaaS environment.
You will serve as a trusted analytical partner to the Pricing & Monetization team, operating in a semi-embedded model where you own a specific strategic focus area. Your mission is to answer critical questions about go-to-market strategy and drive growth across the customer lifecycle by analyzing the revenue engine and providing insights into pricing architecture and monetization strategies.
Key responsibilities include: partnering with product and commercial leadership to evaluate pricing and packaging strategies, analyzing discount behaviors, and tracking financial performance of new monetization initiatives; designing and executing advanced statistical analyses including cohort analysis, customer segmentation, and predictive modeling; building and scaling analytics infrastructure through proprietary solutions in R/Python; providing actionable insights to influence stakeholders toward data-informed decisions; architecting intuitive Looker dashboards for stakeholders from Commercial Ops to executive leadership; and collaborating with data engineering teams using dbt to ensure robust, analyst-ready GTM data pipelines.
You bring demonstrated experience successfully driving strategic GTM initiatives and establishing analytical best practices. You are fluent in SQL and R/Python with solid understanding of regression models, clustering, propensity analysis, and statistical significance. You have several years solving go-to-market problems using appropriate analytical techniques and understand core SaaS metrics, pricing strategies, and monetization models. You possess strong stakeholder management skills, can explain complex solutions to non-technical audiences, and have proven experience with Looker (LookML) or similar BI tools. You maintain a high bar for data quality and have experience with modern data stacks including BigQuery, dbt, and Airflow.
