About the role
Who is Sonar? Sonar is driving the future of agent-centric software development. As the leader in AI code review and verification, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable. Integrating seamlessly with Claude Code, Codex, Cursor, GitHub Copilot, Gemini, and Devin, we help over 75% of the Fortune 100 build trusted, reliable, compliant software. Customers who use Sonar are 44% less likely to report an outage due to AI-generated code. We believe code verification is the critical missing link in the Agent-Centric Development Cycle (AC/DC). Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor Company count on us to provide independent, explainable, consistent review and governance of their AI-generated code via products like: SonarQube: The world’s leading AI code review and verification platform. SonarQube Foundation Agent: Currently topping the leaderboards for agentic software repair. SonarSweep & Sonar Context Augmentation: Providing the enterprise-grade context and constraints agents need to be truly effective. Our team operates across global hubs in Austin, Bochum, Dubai, Geneva, London, Singapore, Tokyo, and Washington D.C. We move with a mindset we call CODE: Committed to our customers and community. Obsessed with quality. Deliberate in our decisions. Effective as one team. With over $400M in revenue and profitable, fast-paced growth, we are building the backbone of the AI software revolution. If you’re hungry to have an impact, want to build at a fast pace, and ready to work at the forefront of AI, we want to hear from you. Position description We want to make the best decisions possible for our products and to do that, we need to make data-driven decisions. To achieve this goal, we are looking for a talented Data Product Analyst (DPA) to join the product data team. As a Data Product Analyst (DPA) at Sonar, you are the architect of clarity and the bridge between technical infrastructure and business value. We treat Data as a Product, and you own its entire lifecycle—from dbt SQL modeling and event-based schema governance to high-level executive storytelling. You will thrive in this role if you enjoy a "full-stack" analytical challenge. You are a proactive project leader who owns the data relationship for your domain. Depending on the need, your impact ranges from empowering users through data literacy to leading complex, end-to-end analyses from initial conception to the final executive summary. \n What you will do We believe in using the best tools to stay effective and efficient. You will be expected to master and evolve our data ecosystem: Data project ownership & delivery Managing a data project from start to finish using agile method, helping stakeholders to refine their questions into structured data projects, advising stakeholders on what to measure, how to model it, and which tool to use and facilitating stakeholder discussions to bridge the gap between high-level business goals and technical execution. Deliver end-to-end solutions, from ingestion and modeling to executive-ready visualizations and summaries. Technical stack Modeling & Architecture: Build and maintain scalable models using dbt (SQL) and provide critical reviews of event schemas for our event-based platform. Modern Workflow: Leverage Cursor and Git to accelerate development and ensure code quality and version control. The Analytics Hub: Own the user experience across Mixpanel, Tableau, Metabase, and Atlan, ensuring they serve as the single source of truth. Data literacy Onboarding and empowering users to self-serve, effectively reducing the data team as a bottleneck. Handling ad-hoc requests ranging from querying specific datasets to providing technical guidance on our tooling landscape. Participating in Level 1 technical support, including monitoring dbt jobs and Tableau extracts to ensure the reliability of our products. Project Governance: Use Jira for roadmap visibility and dbt/Confluence/Atlan for high-quality documentation that survives handoffs. Continuous Platform Improvement You act as a bridge to Data Engineering. You’ll proactively surface data debt, documentation gaps, and tooling friction to ensure the platform gets simpler and stronger over time. You’ll also ensure high standards for PII handling and security policies are built into every delivery. Experience and