Forward Deployed Data Analyst

About the Company

Valon is building the AI-native operating system for regulated finance starting with mortgage servicing.

Were 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 wasnt 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. Weve 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 dont just automate tasks they continuously improve entire operations. Mortgage servicing is just the beginning of our vision to transform regulated industries and beyond.

About the Role

We are looking for full-stack data analysts who can take end-to-end ownership of the data and analytics needs of Valons SaaS customers. You will be responsible for large scale migrations of varying reporting infrastructure to the Valon Data Schema and API on behalf of clients. You will interface with clients stand up data infrastructure migrate or build out reporting and more. Youll work closely with client data teams representing Valon as both the expert on Valons Data Schema and also mortgage servicing best practices. The right candidate is technical analytical and works well under pressure including high stakes and tight deadlines. At the same time positivity clear communication and customer service are key.

Responsibilities

Collect and document client requirements at the project level from client data analysts.

Establish new data processes tools and systems for clients according to plan.

Create reporting pipelines in dbt.

Write re-write or migrate SQL queries reports and dashboards to empower client operational processes.

Conduct analysis to inform client business decisions.

Document audit and improve client data sets to meet client data needs.

Respond to data requests from the client and their operations teams.

Meet tight project deadlines.

Dive deep into the mortgage servicing industry to understand its complicated inner workings.

Ideal Background

2-4 years of full-time work experience in data analytics product analytics business analytics or business intelligence ideally at a tech company (mortgage servicing experience a plus).

Experience in a customer facing role.

Expert in SQL required (Python skills a plus).

Experience with dbt.

Experience using data visualization tools especially Hex Looker PowerBI Tableau or equivalent BI tools.

Experience working with data engineering teams and building out data infrastructure.

Experience applying data and analytics concepts to business problems.

Benefits

Base Compensation Band : $105000 - $180000

This Base Compensation pay range applies to our New York City located staff and may differ according to location.

Compensation; competitive salary with a meaningful stake in the company via equity and our performance bonus program

Health & well-being; well 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; well 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

Throughout the interview process please remember that emails will only be from emails. We wont ever be asking for any personally identifiable information during the interview process itself. Please reach out to if you have any requests to verify the authenticity of an outreach.

Valon is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race color sex religion sexual orientation national origin disability genetic information pregnancy or any other protected characteristic as outlined by federal state or local laws. Valon makes hiring decisions based solely on qualifications merit and business needs at the time.

Required Experience :

IC

Key Skills

Data Analytics,Microsoft Access,SQL,Power BI,R,Data Visualization,Tableau,Data Management,Data Mining,SAS,Data Analysis Skills,Analytics

Employment Type : Full-Time

Experience : years

Vacancy : 1

Monthly Salary Salary : 105000 - 180000