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 (RSO) team in delivering accurate, timely, and scalable regulatory reporting and compliance analytics across the organization. This role sits at the intersection of data, automation, and regulatory execution, supporting critical filings such as HMDA (Home Mortgage Disclosure Act), NMLS MCR (Mortgage Call Reports), and other state and federal reporting requirements.

This is a high-visibility, execution-focused role with a fast track to independent ownership of regulatory data workflows and automation initiatives.

Key Responsibilities:

· Support end-to-end data preparation and validation for HMDA LAR, NMLS MCR, and other regulatory filings
· Write, optimize, and troubleshoot complex SQL queries to extract and validate large datasets from internal systems
· Develop Python-based validation scripts to automate regulatory data checks and field-level calculations
· Partner with US-based compliance stakeholders to ensure data accuracy, completeness, and timely submission
· Perform field-level testing, reconciliation, and variance analysis across regulatory datasets
· Identify root causes of data inconsistencies and collaborate with Product, Engineering, and Operations teams to remediate
· Maintain structured documentation of data logic, transformations, and validation frameworks
· Build reusable SQL and Python workflows to reduce manual reporting effort
· Support automation of recurring regulatory processes and validation checks
· Contribute to scalable data models supporting regulatory dashboards and executive reporting
· Develop dashboards and visualizations (Tableau, Power BI, Looker, etc.) to monitor regulatory metrics and data quality trends
· Perform structured analysis to support remediation tracking and compliance risk monitoring

Required Qualifications:

· Bachelor’s degree in Data Analytics, Statistics, Mathematics, Economics, Computer Science, or related field
· 3–4 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
· Advanced Excel skills
· 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 regulatory environment
· Strong written and verbal communication skills

Preferred Qualifications:

· Experience working with large datasets in cloud data warehouses (Redshift, BigQuery, Snowflake, etc.)
· Exposure to HMDA, MCR, or other regulatory reporting frameworks
· Experience with ETL processes and data modeling
· Understanding of mortgage lifecycle data (origination, underwriting, closing, servicing)
· Experience in Fin Tech, mortgage, or other highly regulated environments