Senior Analytics Engineer

📋 Description Design, build, and maintain scalable data pipelines and data models that power analytics Develop dashboards, reports, and analytical tools that make complex behavioral data accessible Partner with business and product stakeholders to define, document, and validate meaningful Ensure data quality, consistency, reliability, and performance across systems processing billions Collaborate with analysts, software engineers, product managers, and other stakeholders to Work extensively with SQL, Python, and distributed data technologies to process and model 🎯 Requirements Strong professional experience building data pipelines, data models, analytics tooling, and other Expert-level SQL skills and experience working with large-scale datasets and distributed data Strong Python experience for data processing, automation, analytics, or internal tooling. Experience with modern analytics engineering stacks and tools such as dbt, Airflow, or comparable Strong understanding of business metrics, including how to define, validate, interpret, and Understanding of product funnels and ecommerce metrics such as revenue, conversion, engagement, and 🎁 Benefits Competitive base salary of $80,000–$120,000 USD, depending on knowledge, skills, experience, and Stock options offered in addition to base salary. Fully remote working environment, with flexibility to choose where you live. Unlimited vacation policy, with employees strongly encouraged to take at least three weeks of Work-from-home stipend to help create a productive and comfortable home office. Apple laptop provided for new employees.