Finance Operator, Data
Mechanism Ventures · Canada
- Hybrid
- Full-time
- $160,000 / year
- Canada
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Job highlights
- Build financial data infrastructure for multiple companies.
- Automate financial workflows and reporting processes.
- Analyze raw data to create financial models.
- Communicate financial insights to stakeholders.
- Handle diverse financial responsibilities independently.
About the role
The Company
In 2019, we started building profitable startups from scratch. We brought together top minds to drive the highest success rate in the industry and turn company building into a science.
During that time, we’ve built ten high-growth companies, driving $200M+ in revenue. Along the way, we’ve developed an engineering approach to entrepreneurship rooted in algorithms and data.
Now, we’re working to automate company building to a point that we can press a button to launch profitable companies, ventures that can reinvest their own resources to become enterprises that help millions, or even billions, of people.
Position Description
The Finance Operator, Data builds the financial data infrastructure that all of our companies depend on. This is not a data engineering role, or a dashboard builder who hands outputs to other people. This is not a narrow technical role with a well-defined backlog.
You are a finance person first, someone who understands how businesses work, can read a P&L, and knows whether a number is right or wrong. Your differentiator is that you are technically capable in ways most finance people are not. SQL, data modelling, transformations, automation, and reporting infrastructure are tools you reach for naturally. You build things that produce correct financial outputs reliably, at scale, and you eventually communicate what those outputs mean to the people who need to act on them.
In your first 6 months, you will be building more than just communicating. The infrastructure needs to exist before it can be explained. That means your work is less visible than it will eventually be, as you lay the foundation on which everything else runs. It also means you will encounter work that is not yet systematized: data pulls that should be automated but aren’t yet, manual reconciliations that exist because the query hasn’t been written, edge cases that need a human until the logic is built.
While data-focused, this role requires generalist financial acumen, driver-based instincts, multi-company fluency, and the breadth to operate independently at the highest level of the finance function.
What You’ll Do
- Build the data infrastructure all companies depend on
- You will build dashboards, models, automated reports, and data checks that are replicated across every company we launch.
- You will combine your data expertise with your financial and accounting acumen to automate workflows like revenue recognition, cohort analysis, and reconciliations.
- Build a cohort analysis from raw transactional data by structuring the data, building the model, and making it interpretable to an operator.
- Create automated financial alerts that catch problems early and surface them automatically to minimize manual financial review.
Grow Into Communicating What You Build
- This role starts in the infrastructure layer but does not stay here.
- As the foundation matures, you will increasingly be the person who explains what the data means to CEOs, practice area leads, boards, and cross-functional teams.
Handle the full financial surface area
- For any given company, there are valuations, tax considerations, SPV distributions, inter-company billing, and funding proposals. This is not a narrow role.
- You will encounter the full range of financial questions that arise across a growing portfolio, and be expected to navigate them with genuine competence, not just escalate them.
A finance person first
- You can read a P&L, understand unit economics, and know when a number is wrong. This isn’t because someone told you, but because you understand how businesses work.
- The technical work, the advisory work, the accounting work all sit on top of this foundation.
Built For a Multi-company Environment
- You hold financial context across multiple businesses simultaneously without confusing them.
- You find it interesting that one company has a seasonality problem while another has a CAC problem, rather than wishing you could just focus on one thing.
No passengers
- You get better fast.
- You build systems rather than just doing the work.
- You leave functions better than when you found them.
- You do not wait to be told what needs fixing.
What you’ll bring
- 3-6 years of FP&A, financial analysis, or a finance-adjacent analytical role.
- Ability to read a P&L, understand unit economics, and explain what a number means in business terms.
- Proficiency in SQL for financial analysis beyond simple data pulls.
- Experience building with messy, real-world financial data.
- Solid understanding of revenue recognition for at least one business model.
- Ability to distinguish between a technically correct output and a financially correct one.
- Experience building a cohort model from raw data.
- Experience in a multi-entity environment.
- Experience with Aleph, Looker, Metabase, or comparable FP&A or BI platforms at a build level.
- Proven track record of automating manual reporting processes.
- Sufficient accounting literacy to identify miscoded transactions and determine correct treatment.
This is not the right role if
- You primarily identify as a data analyst working in finance.
- You require a fully scoped backlog for task prioritization.
- You are more comfortable producing outputs than understanding their implications.
- You rely on percentage-growth assumptions for forecasting without deeper analysis.
- You wish to remain solely in the data layer without providing insights.
- You are seeking a mature, fully systematized finance function to join.
Time Commitment
This role is full-time and will need to overlap with US ET for the majority of the workday. It is an exciting opportunity that demands a level of dedication beyond the standard 9 to 5. We need someone who's willing to go above and beyond to help us achieve our ambitious goals, and who's eager to put in the effort to make a real impact.
Location
US-Based - Fully remote.
Compensation
Our compensation packages are designed to make this your dream job for the short and long term. Each compensation package is tailored to suit your priorities and can include base, equity in the companies we help build, and performance bonus based on the success of our portfolio companies. Benefits include medical, dental, vision, and an unlimited time off policy with a two-week minimum.
Compensation Range: $150K - $170K
Key skills/competency
- Financial Modeling
- Data Analysis
- SQL
- Revenue Recognition
- Cohort Analysis
- Financial Acumen
- Automation
- Reporting Infrastructure
- Multi-company Finance
- FP&A
Skills & topics
- Finance
- Data Analysis
- SQL
- FP&A
- Financial Modeling
- Automation
- Reporting
- Startup
- Remote
- US-Based
How to get hired
- Tailor your resume: Highlight experience with SQL, financial modeling, and automating reporting.
- Showcase finance expertise: Emphasize your ability to read P&Ls and understand business unit economics.
- Quantify achievements: Provide examples of building financial systems and improving processes.
- Demonstrate technical skills: Mention experience with BI tools and handling messy financial data.
- Express passion for growth: Articulate your interest in a multi-company environment and driving impact.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the primary focus of the Finance Operator, Data role at Mechanism Ventures?
- The Finance Operator, Data role at Mechanism Ventures focuses on building and maintaining the financial data infrastructure for the company's portfolio of startups. This involves leveraging financial acumen alongside technical skills in SQL, data modeling, and automation to ensure reliable and scalable financial outputs.
- What technical skills are essential for a Finance Operator, Data?
- Essential technical skills for this role include strong proficiency in SQL for financial analysis, data modeling, data transformations, automation, and building reporting infrastructure. Experience with FP&A or BI platforms like Looker or Metabase is also highly valued.
- How does this role differ from a traditional data engineering or data analyst position?
- This role is distinct because it requires a finance-first mindset. While technical skills are crucial, the primary objective is to apply them to solve financial problems, interpret data in a business context, and ensure financial accuracy, rather than solely focusing on data engineering or analytical outputs without financial depth.
- What are the key responsibilities in the first six months for a Finance Operator, Data?
- In the initial six months, the focus will be on building the foundational data infrastructure. This includes automating existing manual processes, writing queries, developing models, and addressing edge cases, preparing the groundwork for future communication and insight generation.
- What is the expected time commitment for the Finance Operator, Data role?
- This is a full-time role that requires significant dedication, with a need to overlap with US Eastern Time business hours. The company emphasizes a willingness to go above and beyond to achieve ambitious goals and make a substantial impact.
- Can you describe the compensation and benefits package at Mechanism Ventures for this role?
- Compensation packages are tailored and can include base salary, equity in the built companies, and performance bonuses. Benefits include medical, dental, vision insurance, and an unlimited time off policy with a two-week minimum.
- What kind of financial problems will a Finance Operator, Data be expected to solve?
- The role involves handling the full financial surface area for multiple companies, including valuations, tax considerations, inter-company billing, and funding proposals. You'll address a wide range of financial questions across a growing portfolio with competence.