Senior Analytics Developer

📋 Description Build extensible data models for product analytics, internal reporting, and AI workflows. Implement data quality checks, validation rules, and governance for accuracy. Develop analytics tooling enabling self-serve models with best practices. Monitor and optimize pipelines and storage for performance, scale, and cost. Create and maintain docs so datasets are discoverable and usable. 🎯 Requirements 4+ years as analytics engineer building and orchestrating pipelines with dbt and lakehouse tech. Deep knowledge of dbt, data modeling, and BI best practices; defend your point of view. Strong business and product acumen; translate analytics needs into self-serve solutions. Hands-on software development fundamentals: environment segregation, version control, release management. Mentoring track record; raise output of teammates including non-technical partners. Experience with AI-augmented analytics workflows. 🎁 Benefits Competitive base + equity at a $2.5B valuation. Day-1 health, dental, and vision coverage (Canada/US). Unlimited PTO — we actually take it. $500 home office stipend · $1K annual L&D budget. Hybrid hubs in Montreal, Raleigh, Miami, San Francisco; or fully remote per role.