Join Two Dots to build a stronger financial system:
Every time someone applies for a mortgage, car loan, or apartment lease, they submit financial documents that humans use to build a financial profile about them. The quality of these financial profiles is a key input that regulates the body temperature of the economy.
Two Dots is building a better system to build these financial profiles more consistently and fairly with conversational interfaces that interact with consumers and automate much of the back and forth document collection process in loan and lease origination. We're building a better system to evaluate consumers consistently and fairly. We prevent fraud that humans can't see, help applicants navigate documenting complex financial situations, and surface value in atypical applications that would otherwise be discarded.
Role OverviewTwo Dots is looking for a Data Analyst to transform data into actionable insights that drive product decisions and business growth. As a YC-backed, Series A company scaling rapidly, you'll work directly with product, engineering, and business teams to uncover patterns in our underwriting data, measure product performance, and identify opportunities to improve our platform.
You'll be the go-to person for understanding how our AI-powered underwriting system performs in the real world—translating complex data into clear visualizations and recommendations that shape our product roadmap.
What You'll DoWrite SQL queries to extract, transform, and analyze data from our Postgres and BigQuery databases
Build dashboards and visualizations that make complex underwriting metrics accessible to product and business stakeholders
Generate product insights by analyzing user behavior, conversion funnels, and underwriting performance
Partner with product and engineering to define and track key metrics, run A/B tests, and measure feature impact
Identify trends and anomalies in application data that inform risk models and product improvements
Create reports that communicate findings clearly to both technical and non-technical audiences
Support business development with data-driven presentations and ROI analyses for enterprise clients
Strong SQL skills – you're comfortable writing complex queries with joins, aggregations, and window functions
Data visualization experience – proficiency with tools like Tableau, Looker, Metabase, or similar platforms
Analytical mindset – you ask good questions, spot patterns, and translate data into actionable recommendations
Communication skills – you can explain technical findings to non-technical stakeholders
Attention to detail – accuracy matters when analyzing financial and risk data
Bonus: Experience with Python or R for statistical analysis
Bonus: Familiarity with fintech, lending, or real estate data
Bonus: Understanding of A/B testing and experimental design
Databases: Postgres, BigQuery, Redis
Scripting: Python, Node.js
Cloud: GCP
An opportunity to revolutionize the real estate leasing industry and own analyses that directly shape product decisions
Direct access to leadership and the ability to influence company strategy with your insights
An environment with a work culture based on trust, ownership, flexibility, and a growth mindset
A competitive salary, comprehensive equity package, and substantial benefits
Two Dots is an equal opportunity employer. We aim to build a workforce of individuals from different backgrounds, with different abilities, identities, and mindsets. Even if you do not meet all of the qualifications listed above, we encourage you to apply!
Compensation is variable and is subject to a candidate's personal qualifications. For this role, we offer the following base salary range (in addition to equity and full benefits): $100k - $175k per year.
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What We Do
Two Dots is an AI-native tenant screening and consumer underwriting platform built for multifamily operators and lenders. The product is anchored by Eve, a conversational underwriting agent that runs the entire applicant interaction — identity verification, document collection, income and employment verification, credit, criminal, eviction, and fraud detection — in a single workflow that returns a defensible approve-or-deny recommendation in minutes, not days. Two Dots replaces the legacy 3–5-vendor screening stack with one platform. Complex income (gig, 1099, self-employment, multiple sources, benefits) is handled natively — roughly 42% of multifamily applicants don't fit a standard W-2 workflow, and Two Dots was built around that reality. Edge cases are resolved by Two Dots' US-based specialist team, never by the customer's leasing staff. Customer outcomes include a 70%+ reduction in bad debt, ~$2M in annual savings per 10,000 units on average, and approval times compressed from days or hours to minutes for qualified applicants. Operators include BH Management, Pretium, Fogelman, MG Properties, Cerberus, FirstKey, RAM Partners, Moss & Associates, Timberland Partners, Corcoran, and Van Metre. 1M+ units screened across 43 states. 7M+ documents processed. Two Dots is SOC 2 Type II certified, FCRA-regulated, and FHA-regulated. The platform also includes a Lending product (agentic underwriting for consumer lenders), a Document Extraction API for straight-through processing, and an NOI Max tier with AI rent pricing, leasing criteria optimization, and acquisition intelligence.

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