About the Company
Valon is building the AI-native operating system for regulated finance, starting with mortgage servicing.
We're a Series C company backed by a16z, transforming industries that others have written off as too complex to innovate.
Rather than build on top of broken legacy systems, we took a different approach: we built and operate our own mortgage servicing business managing $110+ billion in loans. This wasn't the end goal, it was how we deeply understood the complexity needed to build software that actually works in regulated industries.
The results speak for themselves. We've transformed mortgage servicing from a 0% margin business into 60%+ margins while dramatically improving customer experience. Major enterprise contracts are now deploying across the industry.
ValonOS is our unified platform that makes every process structured and programmable and it is perfectly positioned for the AI era. When everything flows through one system with rich data, AI agents don't just automate tasks, they continuously improve entire operations. Mortgage servicing is just the beginning of our vision to transform regulated industries and beyond.
- Write SQL queries, build reports and dashboards, and conduct analysis to empower business leaders to make effective decisions
- Create reporting pipelines in dbt
- Help establish and influence data process, tools, and systems that will allow us to make better decisions in a scalable way
- Partner with other members of the data team to improve our data platform
- Leverage our data tools to create products that increase the efficiency of our operations teams
- Document our data, ensure data accuracy and create/improve data sets to meet Valon’s data needs
- Respond to data requests from the product and business teams
- Dive deep to understand the inner workings of a highly complex industry
- 6+ years of full-time work experience in data analytics, product analytics, business analytics, or business intelligence, ideally at a tech company
- Expert in SQL required (Python skills a plus)
- Experience with dbt
- Experience using data visualization tools, especially Hex, Looker, or an equivalent BI tool
- Experience working with data engineering teams and building out data infrastructure
- Experience applying data and analytics concepts to business problems cross-functionally
- Base Compensation Band: $160,000 - $215,000
- Compensation; competitive salary with a meaningful stake in the company via equity and our performance bonus program
- Health & well-being; we’ll invest in your physical and mental well-being with comprehensive medical, dental, & vision benefits
- Grow together; learning & development opportunities including regular review cycles that feature 360 degree feedback
- Equipment; we’ll provide you with the equipment you need to be successful and a one-time $200 stipend for your initial desk setup
- Generous time off; paid time off, uncapped sick days, and 11 company holidays
- Baby bonding time!; 3 months off for birthing parents and 2 months off for non-birthing parents - fully paid so you can focus your energy on your newest addition
Top Skills
Valon New York, New York, USA Office
We're in the heart of Union Square, with easy access to nearby restaurants, bars, the park, the Greenmarket, and a majority of subway lines. Ask us about our fav fast-casual spots that we grab for lunch or our go-to coffee and bubble tea shops that we go to for a caffeine kick or an afternoon walk.
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