Job Description
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.
About the role
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.
Responsibilities
- 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
About you
- 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
Compensation
The US base salary range for this role is $150K–$200K annually , plus equity and benefits.
Compensation is determined by role, level, location, and individual qualifications, including skills, experience, and scope of responsibility. Pay may vary by geographic location and other job-related factors.
Benefits
We offer meaningful equity and a comprehensive US benefits package, including fully employer-covered medical, dental, and vision insurance (with 75% coverage for dependents), a 401(k) with employer match available to enroll after the first 30 days, flexible and unlimited paid time off including sick time, and an asynchronous, remote-first environment.
We’re a global team (50% outside the US), fully distributed (from Thailand to California), who get things done asynchronously, with plenty of uninterrupted time, supporting each other to do the best work of our careers. We offer flexibility (define your own schedule and work from wherever you want), autonomy, and an environment that fosters growth, learning, and development. We’re relentlessly user-focused and believe in building long-term value, not short-term hacks. And we raised a $30M Series B to take our approach to the next level for years to come.
For U.S. applicants: Metabase participates in the federal E-Verify program, which confirms employment authorization of newly hired U.S. based employees. E-Verify is not used as a tool to pre-screen candidates and is only initiated upon hire.
E-Verify Participation Notice (English/Spanish)
Right to Work Notice (English/Spanish)
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
