Senior Product Analyst (f/m/d)

Requirements

• You will have direct exposure to product leadership to drive the adoption and success of our highest-priority 2026 initiatives and beyond: Month-End Close Automation, Advanced Controlling and Reporting, and our emerging AI/Moss Intelligence agents.
• We are deeply rethinking the way we execute data analytics at Moss by aggressively leveraging AI.
• Reporting to the Head of Data & Insights, you will not just raise the bar on how Moss measures, tracks, and improves the products our customers use every day - you will actively help us redefine how a modern, AI-enabled data team operates. YOUR
• RESPONSIBILITIES - Own the AI-Empowered Data Supply Chain: Take full end-to-end accountability for product data in your domain—from tracking design to final insights.
• You will operate as a modern, "full-stack" analyst, leveraging advanced AI tooling and the robust frameworks provided by our Analytics Engineering team to maintain your data models.
• - Steer Strategic Execution: Drive the product analytics roadmap in close partnership with product directors and the CPO, specifically defining and measuring the success of our high-priority 2026 spikes: Month-End Close automation, Controlling, and AI/Moss Intelligence agents.
• - Drive the AI/Automation Evolution: Actively leverage AI (Claude Skills, agents) to automate routine reporting and ad-hoc requests, empowering product leadership with self-serve decision leverage so you can protect your capacity for high-value strategic analysis.
• - Bridge the Tooling Reality: Leverage our existing data stack (Google BigQuery, dbt, Metabase) to extract immediate value while mapping out a lean, strategic implementation plan for future front-end Product Analytics (PA) and Customer Data Platform (CDP) tooling.
• You are commercially sharp—you do not just analyze product funnels; you understand exactly how user behavior drives monetization, account expansion, and our SaaS Net Revenue Retention (NRR) targets. - AI-Empowered with solid data background: Advanced SQL proficiency and hands-on
• experience with modern data stacks (e.g., Google BigQuery, dbt).
• More importantly, you are a practiced AI adopter: you actively leverage AI tooling to accelerate your data modeling, write queries, and generate insights, allowing you to operate as a fast, "development-light" full-stack analyst. - Extreme Ownership & Intensity: You operate with a bias toward extreme ownership and startup-like intensity.
• experience driving A/B testing and experimentation cultures.
• You possess a rock-solid grasp of underlying statistical concepts and have a proven ability to translate complex, ambiguous test results into confident, strategic recommendations for the C-level. - Tooling Architecture (Plus):