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

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
Experience working with large datasets in cloud data warehouses (Redshift, BigQuery, Snowflake, etc.) (preferred)
Experience working on client-facing documents and documentation (preferred)
Experience with ETL processes and data modeling (preferred)
Understanding of mortgage lifecycle data (origination, underwriting, closing, servicing) (preferred)
Experience in FinTech, mortgage, or other highly regulated environments (preferred)

Data Analyst II

Key skills