Lead Data Analyst (Pricing & Monetization)

Join our Go-To-Market (GTM) Analytics team as a Lead Pricing & Monetization Analyst. In this high-impact role, you will analyze our revenue engine, provide insights into pricing architecture and monetization strategies, and drive growth across the customer lifecycle. You will work cross-functionally with product and commercial leadership, develop advanced statistical analyses, build and scale our analytics infrastructure, and influence stakeholders with actionable insights. Additionally, you will collaborate with our data engineering team to ensure robust and efficient GTM data pipelines.

• Partner with product and commercial leadership to evaluate pricing and packaging strategies, analyzing discount behaviors and tracking the financial performance of new monetization initiatives.
• Design and execute complex analyses, including cohort analysis, customer segmentation (clustering), and predictive modeling to identify growth levers.
• Build and scale our analytics infrastructure, developing proprietary solutions in R/Python and integrating them into our data stack.

• Data Storytelling: You have proven experience with Looker (LookML) or similar BI tools, emphasizing best practices in data storytelling
• A Trusted Advisor: You possess strong stakeholder management skills knowing how to challenge assumptions and guide leadership toward data-informed decisions
• A Data Architect: You have a high bar for data quality and have experience working within modern data stacks (e.g BigQuery, dbt, Airflow)
• A Proven Analytical Lead: You bring demonstrated experience successfully driving strategic GTM initiatives, establishing best-in-class analytical standards, and mentoring team members to elevate overall capabilities across the analytics function
• A Strategic GTM Thinker: You have several years of experience solving go-to-market problems using appropriate analytical techniques. You don't just build models; you understand the "why" behind the numbers. You understand core SaaS metrics and have experience evaluating pricing strategies, monetization models, or commercial packaging structures
• A Technical Expert: You are fluent in SQL and R/Python and have a solid understanding of regression models, clustering, propensity and statistical significance with an ability to apply them to complex commercial and GTM problems
• An Expert Communicator: You can explain complex solutions and models to a non-technical audience and present a compelling case for strategic optimization to executive leadership