Merge · San Francisco, CA
Skills: Python, SQL
Merge is the leading provider of agentic tools and customer-facing integrations for frontier LLMs, Fortune 500 organizations, and B2B SaaS companies. Our platform offers two core products: Merge for Product, and Merge for Workforce. Merge for Product enables teams to ship AI features and integrations at massive scale. Merge for Workforce helps engineering teams govern AI access at the company level. Merge's enterprise-grade platform handles the entire integration lifecycle, from authentication and security to monitoring and maintenance. Thousands of companies trust Merge to accelerate product development, unblock sales, reduce customer churn, and save engineering resources—allowing them to focus on their core product. We're hiring an Analytics Engineer to own the data foundation behind how Merge understands its products, customers, and business. An analyst answers a question and then works out how to repeat it. You'll build the systems that make sure no one answers it by hand again. You think in systems and code: models, pipelines, tests, failure modes, and freshness that teams can rely on. You'll work with Engineering and partner with Finance, RevOps, Product, and GTM to turn changing business concepts into precise definitions and trusted data products. If you want to build the models from first principles, this is the role. What will you do: - Own and evolve dbt models across our product data and other internal systems. - Maintain shared dimensions, facts, transformations, and metrics as source systems and business requirements change. - Partner with domain experts to define company metrics, reconcile competing definitions, and consolidate duplicated business logic into trusted, reusable models. - Add tests for uniqueness, completeness, relationships, business rules, and important edge cases. Improve documentation, lineage, and discoverability. - Partner with Engineering on source contracts, data quality, freshness, warehouse performance, and issues that start ups…
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