Staff Analytics Engineer

Kit https://kit.com/ is an email-first operating system for creators who mean business. We help creators grow and monetize their audience with ease. For coaches, YouTubers, authors, podcasters, and other creatives, there isn't a better marketing hub to rely on to grow audiences, automate email marketing, and sell digital products — all within one platform.

More importantly, there isn't a team more committed to helping creators earn a living. We're on a mission to help creators earn $1 billion using our creator marketing platform. We have always been 100% independent and 100% remote.

We are proud to have built a product that our customers love, and we look for people who have enthusiasm and belief in our mission, vision, and values to join our team. We're also embracing AI thoughtfully — both in how we build and how we hire to ensure our team is adaptable, innovative, and ready for what's next.


THE ROLE

Kit is at an inflection point. We have the product, the customers, and the mission — but our ability to make fast, confident decisions across Finance, Product, Marketing, and Revenue is still bottlenecked by an analytics layer that hasn't kept pace with the business. We're hiring a Staff Analytics Engineer to solve for that: to build the canonical data foundation that lets every team at Kit operate from a single source of truth, and to raise the bar for how data work gets done across the entire function.

This is a full-time IC role for someone who thinks in systems, communicates in writing, and finds genuine satisfaction in turning ambiguous metric definitions into reliable, well-documented truth. The success of this role is measured by whether the rest of the company can confidently explore data without depending on the Data team for routine interpretation.

 


YOUR SUPPORT SYSTEM

You’ll report to Samuel Umachi, Head of Data https://www.linkedin.com/in/samuelumachi/, and collaborate closely with an analytic engineer, infrastructure engineers, and cross-functional partners in Product, Engineering, Finance, Marketing, Sales, and Creator Growth. You’ll partner directly with stakeholders who rely on the Reporting Hubs you’ll help build and maintain.

 


WHAT YOU'LL DO

- First Week: Complete onboarding in Notion and meet your teammates through Get-To-Know-You calls. Get oriented in our core tools: dbt, Github, Redshift, Omni, Slack, and Linear. Start reading existing documentation on our Reporting Hub architecture and canonical metric definitions.

- First Month: Audit active Reporting Hub models across Finance, Marketing, Sales, Product Strategy, and Creator Lifecycle. Map current churn logic implementation and identify inconsistencies in canonical metric definitions. Assess Redshift performance strain areas and flag fragile model dependencies. Publish a written architectural assessment memo with your initial findings and recommended priorities. Serve as the data team’s voice in cross-functional discussions about metric definitions, attrib