Staff Analytics Engineer at Kit

This role is designed for a seasoned Individual Contributor (IC) who operates at a Staff or Lead level and thrives on turning data chaos into architectural harmony. With 7–10+ years of experience, you should be a master of the modern data stack—specifically dbt and Redshift—and have a background in SaaS metrics like churn, revenue recognition, and subscription modeling. This isn't just about writing SQL; it’s about setting the standard for how an entire company interprets its performance. The compensation is a flat $198,000 regardless of location, supplemented by a generous profit-sharing program and equity. Kit offers an exceptional remote culture with unique perks, including a "paid paid vacation" (a $1,000 bonus to unplug), a $2,000 home office budget, and 12 weeks of parental leave. You’ll have the autonomy to refactor the entire modeling layer and work directly with the Head of Data to build a "single source of truth." **You might be a good fit if you...** * Prefer solving performance issues through elegant modeling design rather than just scaling infrastructure. * Have significant experience refactoring complex warehouse layers in a production environment. * Believe that documentation is a core part of the engineering process, not an afterthought. * Can navigate "metric debates" between Finance and Product with analytical rigor and diplomacy.