Metabase is the easiest way for people to get insights from their data, from tiny startups who get up and running quickly to major corporations with tens of thousands of users. That's why people love us.

We bring data tools with the elegance and simplicity of consumer products to the crufty world of enterprise business intelligence. We provide an opinionated open source starting point for how companies should measure, analyze and share their data, which is used by tens of thousands of companies.

Our Finance & Analytics team owns the authoritative view of Metabase's business performance, and the opinionated read on what's driving it. Internally, this is used to drive decisions; externally, this is used to meet our obligations to investors, auditors, and tax authorities.

We’re looking for a quantitative-minded generalist to lead a portfolio of analytical projects across the business and own an area of finance operations. Your analytical projects will focus on how we measure and understand the broader business: establishing authoritative definitions for key metrics and investigating what’s driving changes in the data. In your operational area, you’ll run the work and build systems that make it reliable and increasingly automated, drawing on external specialists for technical expertise.

This isn’t a traditional finance role: we’re a small team of generalists who think in systems, learn unfamiliar domains quickly, and reason through problems from first principles.

Leading analytical projects that change how we understand the business. Examples include:

Adapting our ARR definition as our business model evolves

Evaluating the health of our sales and marketing funnel

Finding relationships between product initiatives and expansion or churn

Owning a traditional finance domain (such as Accounting or Tax). This will involve a combination of operational work, managing external experts, and evaluating the overall health of the operation

Automating the workflows in your domain so our operational and compliance requirements take as little manual effort as possible. Our aspiration is that areas of traditional finance are treated similarly to analytical systems: a set of inputs that are transformed via defined logic to produce a targeted outcome or insight

Leading cross-functional projects to tackle operational problems as they arise

You think in systems: you understand how pieces fit together, build reliable processes, and automate repetitive work

You think in terms of numbers and are comfortable in a wide range of analytical domains, whether that’s financial modeling, doing intermediate statistical analysis, reviewing the methodology of external vendors, or transforming raw data. You can spot inconsistencies quickly, and enjoy getting to the right answer. SQL experience strongly preferred (nice-to-have: analytics engineering experience)

You know how to use AI to improve efficiency, and enjoy experimenting with novel applications of the technology. Just as importantly, you know the limitations of AI and don't use it as a substitute for your own thinking

You learn fast. For example, you don't need to be an accountant, but you can learn the rules of accounting (or other specialist domains) and apply them to day-to-day problems

You are adept at managing vendors, building strong relationships, and holding them accountable when needed

You have strong organizational skills with a high attention to detail: you enjoy checking items off your checklist, and can seamlessly balance multiple threads of work

Minimum 3–5 years experience, preferably in a high-growth startup

Strong quantitative undergraduate degree (nice to have: MBA)

Based in the US, Canada, or UK

Low-ego attitude: no job should be too small or too large

Nice-to-have: some familiarity with accounting principles or coursework