Senior Analytics Engineer

you.com is an AI-powered search and productivity platform designed to empower users with personalized, efficient, and trustworthy search experiences. As a cutting-edge technology company, we combine advanced AI models with user-first principles to deliver tools that enhance discovery, creativity, and productivity. At you.com, we are on a mission to create the most helpful search engine in the world—one that prioritizes transparency, privacy, and user control. We’re building a team of innovators, problem-solvers, and visionaries who are passionate about shaping the future of AI and technology. At you.com, you’ll have the opportunity to work on impactful projects, collaborate with some of the brightest minds in the industry, and grow your career in an environment that values creativity, diversity, and curiosity. If you’re ready to make a difference and help us revolutionize the way people search and work, we’d love to have you join us! About the Role You.com is a search platform serving millions of queries across consumer and enterprise products. That scale generates a lot of data: search quality signals, API usage logs, click behavior, billing events, and user engagement across the product. This role is responsible for building the analytics infrastructure that makes all of it useful. You’ll own the dbt layer that transforms raw search logs, API events, and revenue data into clean, governed models. You’ll also build the dashboards that teams rely on to understand search performance, product engagement, and business health. Strong technical depth and strong visual judgment are both expected. You’ll work closely with Finance, GTM, Product, and Engineering to define metrics, agree on how success is measured, and build the self-service infrastructure that reduces the analytics backlog for everyone. Responsibilities Data Modeling Infrastructure Design and build core data models covering product usage, revenue, GTM performance, API consumption, and cost data Own the dbt project: architecture, documentation, testing, and CI/CD Build and maintain pipelines from source systems (Salesforce, billing, product events, API logs) into clean analytics layers Define and enforce modeling standards, naming conventions, and governance practices that hold up as the company scales Partner with Data and Backend Engineering to instrument key events and maintain data quality upstream Dashboards Reporting Build dashboards that give leadership and cross-functional teams clear, real-time visibility into business health Develop reporting across GTM, finance, product, and customer success Create self-service analytics that allow teams to answer their own questions without a backlog request Translate complex, multi-source analyses into clean outputs for executive audiences Cross-Functional Partnership Partner with Finance on revenue accounting, COGS, and margin reporting Collaborate with GTM and Sales leaders on seller productivity, pipeline health, and marketing ROI dashboards Work with Product to define and track north-star metrics, funnel performance, and user behavior Serve as a trusted partner when teams need to agree on how something is measured Data Quality Governance Implement data quality monitoring so issues are caught before they reach stakeholders Maintain a documented data catalog that makes the warehouse accessible and understandable across the company Design reporting systems that support financial and operational audit requirements Qualifications 5+ years of experience in analytics engineering, data engineering, or senior-level data analysis at a fast-growing company Strong, production-grade SQL skills; complex queries should be second nature Hands-on experience with dbt (Core or Cloud), including project structure, testing, and documentation Experience with a modern cloud data warehouse: Snowflake, BigQuery, or Redshift Demonstrated ability to build polished dashboards and reports in Looker, Tableau, or a c ... (truncated, view full listing at source)