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Full-Stack Data Analyst at Valon Technologies, Inc.

Mortgage servicing runs on mainframes and fax machines, but this a16z-backed Series C unicorn is changing that with an AI-native OS. We are looking for a Full-Stack Data Analyst to lead client implementations by owning the entire data lifecycle—from setting up dbt pipelines to building strategic dashboards in Looker and Hex. If you have 6+ years of data experience, expert SQL skills, and want to help transform a $12 trillion industry while earning a top-tier salary and equity, this is your chance to join a team rebuilding financial infrastructure from the ground up.

Overview

Role overview

You will take end-to-end ownership of client data migrations for a modern mortgage servicing platform. Acting as the primary data partner, you will gather requirements, stand up infrastructure, and build robust dbt pipelines and SQL-driven reporting. This role is essential in replacing legacy systems with automated, AI-driven solutions for the $12 trillion mortgage industry.

Company

Valon Technologies, Inc.

Valon Technologies, Inc.

$1.1B valuation Series C AI-native mortgage platform backed by a16z, NEA, and Founders Fund

Responsibilities

What you will do

  • Design and execute end-to-end data migrations, translating complex client requirements into scalable data infrastructure and schema mappings.
  • Build and maintain production-grade data transformation pipelines using dbt and expert-level SQL to empower real-time operational decision-making.
  • Create sophisticated visualizations and dashboards in tools like Looker, Hex, or Tableau to provide deep business insights for mortgage lenders.

Candidate profile

Who this is a fit for

  • 6-8+ years of experience in data, product, or business analytics, specifically within a high-growth technology environment.
  • Expert-level SQL proficiency and hands-on experience building production reporting pipelines with dbt and modern BI tools.
  • Proven ability to manage client-facing relationships, gathering technical requirements and translating business needs into high-impact data solutions.

What makes it remarkable

Why this role is remarkable

  • Disrupt a $12 trillion industry by replacing legacy mainframes and manual processes with a high-performance, AI-native SaaS infrastructure.
  • Gain massive ownership by managing the entire data lifecycle for enterprise clients, from initial discovery to production-grade analytics.
  • Work at a unicorn-status Series C startup backed by elite investors like a16z and Founders Fund while receiving a highly competitive salary and equity package.

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