Data Analyst II

Better is the first AI-native mortgage and home equity finance company, revolutionizing one of the largest financial markets in the world. We make home finance radically more transparent; using AI and proprietary technology to eliminate friction from the mortgage process through our industry-leading AI platform, Tinman®, and the first voice-based AI mortgage assistant, Betsy™. Our mission is simple: make homeownership cheaper, faster and more accessible by transforming how people buy and finance homes.

The facts that speak for themselves:

• We’ve funded over $110 billion in loans (more than any other fintech in the US!)

• Raised over $1.2 billion in equity capital to modernize the $15 trillion mortgage industry

• Better’s propriety AI platform makes us an award-winning lender:

  • Fintech Breakthrough Award 2025: Best Lending Innovation

  • Yahoo! Finance (Jan 2025): Best Mortgage Lender for First-Time Homebuyers – Best for quick approval

  • Yahoo! Finance (2025): Best Online Mortgage Lender

  • Money Magazine (2025): Best for fast closing

  • Forbes (2023): Best Online Mortgage Lender

We’re building the future of home finance - and we’re looking for smart, driven, ambitious innovators who are ready to tackle the most impactful work of their careers.

Role Overview

The Data Analyst will support the Regulatory Strategy & Operations team in building and scaling data audit, QC/QA, and validation frameworks across Better and its external partners.

This role sits at the intersection of regulatory audit, data quality, and production reporting workflows, with direct exposure to how data frameworks evolve as the company transitions to a SaaS model. The analyst will work closely with the Manager (Regulatory Audit) and Director (Regulatory Strategy & Operations) to ensure data accuracy, integrity, and scalability across internal systems and partner integrations.

This is a high-visibility role with opportunities to contribute to foundational data quality systems, automate validation processes, and gain hands-on experience with production data pipelines and regulatory reporting.

Key Responsibilities

• Support development and execution of data audit, validation, and QC/QA frameworks across internal and partner datasets• Translate regulatory and business requirements into structured validation rules; perform data validation, reconciliation, and variance analysis• Validate datasets for regulatory and partner reporting, investigate discrepancies, and drive root cause resolution with cross-functional teams• Develop understanding of end-to-end data flows; support validation and debugging of production pipelines and improve reporting reliability• Identify and automate recurring QC checks using SQL/Python; build reusable validation frameworks and support productionization efforts• Support development and validation of reporting outputs; contribute to analysis for regulatory, operational, and SaaS initiatives• Maintain clear documentation of data logic, transformations, and validation frameworks; communicate findings to technical and non-technical stakeholders

Required Qualifications

· Bachelor’s degree in Data Analytics, Statistics, Mathematics, Economics, Computer Science, or related field

· Minimum 4-6 years of experience in a data analyst or similar role

· Strong proficiency in SQL, including complex joins, window functions, aggregations, and performance optimization

· Proficiency in Python for data analysis and automation

· Experience with data visualization tools (Tableau, Power BI, Looker, etc.)

· Strong analytical, troubleshooting, and problem-solving abilities

· Ability to work in a fast-paced, deadline-driven environment

· Strong written and verbal communication skills

Preferred Qualifications

· Experience working with large datasets in cloud data warehouses (Redshift, BigQuery, Snowflake, etc.)

· Experience working on client-facing documents and documentation

· Experience with ETL processes and data modeling

· Understanding of mortgage lifecycle data (origination, underwriting, closing, servicing)

· Experience in FinTech, mortgage, or other highly regulated environments