Finance Operator, Data

Mechanism Ventures

1d•Remote

About The Position

The company, founded in 2019, specializes in building profitable startups from scratch, aiming to automate company building through an engineering approach rooted in algorithms and data. They have successfully launched ten high-growth companies, generating over $200M in revenue. The ultimate goal is to create a system that can launch profitable companies at the push of a button, which can then reinvest resources to become large enterprises. The Finance Operator, Data role is central to this mission, focusing on building the financial data infrastructure for all portfolio companies. This is a finance-first position requiring a deep understanding of business financials, P&L statements, and the ability to discern correct financial numbers. The ideal candidate possesses strong technical capabilities in SQL, data modeling, transformations, automation, and reporting infrastructure. The role involves building reliable and scalable financial outputs and eventually communicating these insights to key stakeholders. In the initial 6 months, the focus will be heavily on infrastructure development, systematizing currently manual processes, automating data pulls, and building logic for edge cases. While data-focused, the position demands generalist financial acumen, driver-based instincts, multi-company fluency, and the ability to operate independently at a high level within the finance function. It is not a narrow technical role or a data engineering position, but rather a finance role with a strong technical differentiator.

Requirements

3-6 years of experience in FP&A, financial analysis, or a finance-adjacent analytical role.
Ability to read a P&L, understand unit economics, and explain financial numbers in business terms.
Proficiency in using SQL to answer financial questions.
Demonstrated experience building solutions from messy, real-world financial data.
Understanding of revenue recognition across at least one business model, sufficient to defend to an auditor.
Ability to discern the difference between a technically correct output and a financially correct one.
Experience building a cohort model from raw data.
Experience working in a multi-entity environment.
Proficiency with Aleph, Looker, Metabase, or comparable FP&A or BI platforms at the build level.
Proven ability to automate a manual reporting process and explain the implemented solution.
Sufficient accounting literacy to identify miscoded transactions and determine correct treatment.

Responsibilities

Build the financial data infrastructure that all companies depend on.
Develop dashboards, models, automated reports, and data checks for replication across all launched companies.
Automate financial workflows, including revenue recognition, cohort analysis, and reconciliations, leveraging data expertise.
Construct interpretable cohort analyses from raw transactional data.
Create automated financial alerts to proactively identify and surface problems.
Communicate data insights and their meaning to CEOs, practice area leads, boards, and cross-functional teams.
Manage the full spectrum of financial considerations across a portfolio of companies, including valuations, tax, SPV distributions, inter-company billing, and funding proposals.
Build systems and processes to improve financial functions.
Proactively identify and address areas needing improvement within financial operations.